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Physicists Are Closing In on The Elusive "Chameleon Particle" and Discovering the Mysterious Nature of Dark Energy – The Debrief

At a lab in the center of the University of California, Berkeley, just off Oppenheimer Way, the street named for the father of the atomic bomb, a team of physicists meticulously adjusts a sophisticated apparatus in the hunt for the elusive chameleon particle.

A hum of anticipation fills the air as they prepare to embark on an experiment that could unveil one of the Universes most profound mysteries: dark energy.

Assuming the Lambda-CDM model of cosmology is correct, dark energy represents nearly 70% of the total energy of the observable Universe and is the impetus behind its accelerated expansion. Yet, despite its vast influence, this mysterious force remains shrouded in mystery.

The first direct evidence for dark energy was discovered in 1998 by two teams of scientists led by Dr. Saul Perlmutter of Lawrence Berkeley National Laboratory, Dr. Brian P. Schmidt of Australian National University, and Dr. Adam G. Riess of John Hopkins University.

Through observations of distant supernovae, the researchers realized that the Universe was expanding at an ever-accelerating rate. This revelation won the three scientists the 2011 Nobel Prize in Physics.

The acceleration is thought to be driven by dark energy, but what that dark energy is remains an enigma perhaps the greatest in physics today, the Nobel Prize announcement by The Royal Swedish Academy of Sciences reads. What is known is that dark energy constitutes about three-quarters of the Universe. Therefore, the findings of the 2011 Nobel Laureates in Physics have helped to unveil a Universe that, to a large extent, is unknown to science. And everything is possible again.

Independent observations, including cosmic microwave background experiments and galaxy redshift surveys, have confirmed the existence of dark energy. Yet, twenty-six years after its initial discovery, the exact nature of dark energy remains perhaps the greatest enigma in physics.

Various theories have been proposed to explain its existence, including the possibility that dark energy could be the vacuum energy of space or a dynamic energy field called quintessence.

Another intriguing proposal is that dark energy is mediated by a yet-to-be-discovered exotic scalar particle that exerts a repulsive force depending on the surrounding matters density. This hypothetical particle, known as a chameleon particle or symmetron, would represent a fifth fundamental force of nature, much weaker than gravity.

In the emptiness of space, a chameleon particle would exert a repulsive force over long distances, driving the Universes accelerated expansion. However, the particles reach would be extremely limited on Earth, surrounded by matter. This would explain dark energys anomalous impact on the accelerated expansion of space.

Now, in the Holger Mller lab at UC Berkeley, physicists are breaking new ground to solve the mystery of dark energy. They have designed the most precise instruments to date, capable of measuring even the tiniest gravitational anomalies.

Detecting even minor deviations in the accepted theory of gravity would be a massive breakthrough, offering evidence for the existence of the hypothetical chameleon particle.

In recent experiments, physicists designed a new instrument that combines an atom interferometer for precise gravity measurements with an optical lattice to hold the atoms in place.

This setup allowed researchers to immobilize free-falling atoms for significantly more extended periods, enhancing the precision of their measurements by a factor of five compared to previous experiments.

By immobilizing small clusters of cesium atoms within a vertical vacuum chamber, the researchers could split each atom into a quantum state. Half of the atom is closer to a tungsten weight in this state, allowing scientists to measure the phase difference between the two halves of the atomic wave function. This process enables them to calculate differences in gravitational attraction with unprecedented accuracy.

In findings just published in Nature, researchers revealed that despite the revolutionary experimental design, results failed to show any deviations from Newtonian gravity.

Nevertheless, physicists are hopeful that with expected improvements in the precision of their new instrument, new and exciting possibilities will be opened for testing theories about the nature of dark energy, including the existence of the chameleon particle.

This new technologys ability to hold atoms for up to 70 seconds and potentially 10 times longer expands the possibilities of investigating gravity at the quantum level, explained Dr. Holger Mller, a UC Berkeley professor of physics and study co-author.

Previous experiments have well established the quantum nature of three of the four forces of nature: electromagnetism and the strong and weak forces. However, the quantum nature of gravity has never been verified.

Most theorists probably agree that gravity is quantum, Dr. Muller said in a release by UC Berkeley. But nobody has ever seen an experimental signature of that.

Its very hard to even know whether gravity is quantum, but if we could hold our atoms 20 or 30 times longer than anyone else, because our sensitivity increases with the second or fourth power of the hold time, we could have a 400 to 800,000 times better chance of finding experimental proof that gravity is indeed quantum mechanical.

This new experimental design can hold atoms in a quantum superposition of two states, each experiencing slightly different gravitational forces, allowing researchers to detect minute differences in gravitational attraction. This capability could eventually reveal the presence of the hypothesized chameleon particles or other unknown exotic phenomena related to dark energy.

In addition to its potential for discovering dark energy, the lattice atom interferometer designed by Mullers team holds promise for various applications, including quantum sensing.

This technology is particularly sensitive to gravity and inertial effects, making it suitable for building advanced gyroscopes and accelerometers. The optical lattices ability to hold atoms rigidly in place also makes it resilient to environmental imperfections or noise, which could allow for precise measurements in challenging environments, such as at sea.

Since 2015, Dr. Muller has searched for evidence of chameleon particles using an atom interferometer.

Atom interferometry is the art and science of using the quantum properties of a particle, that is, the fact that its both a particle and a wave. We split the wave up so that the particle is taking two paths at the same time and then interfere [with] them at the end, Dr. Mller explained. The waves can either be in phase and add up, or the waves can be out of phase and cancel each other out. The trick is that whether they are in phase or out of phase depends very sensitively on some quantities that you might want to measure, such as acceleration, gravity, rotation, or fundamental constants.

In initial tests using an atom interferometer and cesium atoms launched into a vacuum chamber to mimic the emptiness of space, Dr. Muller and his colleagues could observe the 10 to 20 milliseconds it took for atoms to rise above a heavy aluminum sphere.

In 2019, physicists at the Muller lab could observe the atoms much longer, up to 20 seconds, by adding an optical lattice and tungsten weight to increase the effect of gravity.

In another more recent experiment, published in the June 2024 edition of Nature Physics, postdoctoral fellow Cristian Panda and Dr. Muller demonstrated the ability to extend the hold time of atoms from 20 seconds to an astonishing 70 seconds.

The researchers achieved this remarkable feat by stabilizing a laser beam within the lattice atom interferometers resonant chamber and tweaking the temperature to less than a millionth of a Kelvin above absolute zero.

Though results have so far failed to show the existence of the chameleon particle, researchers say their repeated success in expanding the time to observe gravitational effects lays the groundwork for even more precise experiments.

Dr. Muller and his team are currently building a new lattice atom interferometer with improved vibration control and lower temperatures. This next-generation instrument is anticipated to produce 100 times more precise results than their recent experiments. This level of precision could be sensitive enough to finally detect the quantum properties of gravity.

As the researchers continue to push the boundaries, the potential discovery of dark energy feels tantalizingly close. Ultimately, these advancements at UC Berkeley represent a significant step forward in unraveling one of the Universes greatest mysteries and the true nature of dark energy.

Researchers say the successful demonstration of gravitational quantum entanglement would be a breakthrough comparable to the first demonstration of quantum entanglement of photons by the late Dr. Stuart Freedman and Dr. John Clauser in 1972.

In 2022, Dr. Clauser was awarded the Nobel Prize in Physics for his part in proving the existence of quantum entanglement, a phenomenon Albert Einstein once famously described as spooky action at a distance.

Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter:@LtTimMcMillan. Tim can be reached by email:tim@thedebrief.orgor through encrypted email:LtTimMcMillan@protonmail.com

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Physicists Are Closing In on The Elusive "Chameleon Particle" and Discovering the Mysterious Nature of Dark Energy - The Debrief

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Quantum Sensors Unveil the Mysteries of Dark Matter – AZoQuantum

Efforts to understand dark matter, a mysterious substance that constitutes about 85 % of the universe's mass, have led to major advancements in scientific technology. In this wave of innovation, quantum sensors have stood out as a promising tool for detecting and studying dark matter.

Image Credit: khak/Shutterstock.com

This article explores the principles of quantum sensor technology, its application in dark matter exploration, and the latest studies highlighting its role in unraveling one of the universe's greatest mysteries.

For more on Quantum Sensors!

Quantum sensors utilize the concepts of quantum mechanics, specifically quantum entanglement and superposition, to attain remarkable sensitivity and accuracy. These concepts enable quantum sensors to measure minute changes in physical quantities such as magnetic fields, gravitational waves, and time variations with extreme precision.

Quantum Entanglement: Quantum entanglement is a phenomenon where particles become interconnected in such a way that the state of one particle instantly influences the state of another, regardless of distance. This property allows quantum sensors to measure correlations with extreme precision, far surpassing the capabilities of classical sensors. Entangled particles can provide highly sensitive measurements of magnetic fields, gravitational waves, and other physical quantities essential for detecting the subtle effects of dark matter.1

Quantum Superposition: Superposition allows quantum systems to exist in multiple states simultaneously. In quantum sensors, this means that particles can occupy multiple positions or energy levels at once, providing a richer set of data points for measurement. For instance, an atom in a superposition state can be used to measure gravitational fields with higher accuracy by comparing the different states it occupies. This principle is crucial for the high sensitivity required in dark matter detection.1

Quantum sensors employ the following techniques for sensing and measurement of dark matter:

The use of quantum sensors to detect dark matter represents a significant breakthrough in exploring the universe's mysterious components. By leveraging the unique properties of quantum mechanics, these sensors offer unmatched sensitivity and precision. This allows researchers to detect and analyze the elusive signals associated with dark matter. This section delves into the various quantum sensing techniques employed in dark matter research.2

Atomic interferometry, a technique that measures the interference of atom waves, has become a cornerstone in quantum sensing for dark matter exploration. By splitting and recombining atom waves, scientists can detect tiny perturbations caused by the presence of dark matter. The Atomic Experiment for Dark Matter and Gravity Exploration in Space (AEDGE) is one such initiative utilizing atomic interferometry. This space-based mission aims to detect fluctuations in atomic transition frequencies caused by interactions with dark matter.2

Moreover, the integration of quantum sensors with other detection technologies, such as optical and radio telescopes, enhances their capabilities. This multidisciplinary approach allows for cross-verification of dark matter signals, increasing the reliability of detections. For example, combining atomic clocks with gravitational wave detectors can help identify local variations in time caused by dark matter interactions.2

The AEDGE mission exemplifies this integration by combining atomic interferometry with gravitational wave detection. This approach not only improves the sensitivity to dark matter signals but also expands the range of detectable dark matter candidates.2

A novel approach in quantum sensing involves time reversal metrology. According to a SciTechDaily report, researchers have developed a method that enhances the sensitivity of quantum sensors using time-reversed entangled states. This method promises to significantly improve the detection capabilities of current quantum sensors.3

This technique involves evolving entangled atoms forward and then reversing their state, which amplifies quantum signals and enhances the ability to detect subtle changes caused by dark matter interactions. These entangled systems can be up to 15 times more sensitive than similar unentangled atomic systems. Such increased sensitivity is crucial for picking up the faint signals that could suggest the presence of dark matter.3

Cold atom experiments, which cool atoms to near absolute zero, offer a promising approach to dark matter detection. At these extremely low temperatures, atoms display quantum behaviors that are instrumental in identifying dark matter.

Techniques like the Bose-Einstein condensate and other cold atom laboratory experiments have shown significant potential for probing fundamental physics, including interactions involving dark matter. These advancements are vital for investigating the broad spectrum of dark matter candidates, ranging from ultra-light particles to more substantial entities like WIMPs (Weakly Interacting Massive Particles).2

A recent study published inPhysical Review Dintroduced an innovative Helium ultraLIght dark matter Optomechanical Sensor (HeLios) detector. This device utilizes Helium-3 atoms trapped in superfluid Helium-4 as quantum sensors for dark matter detection. The method leverages the changes in electrostatic energy that occur when Helium-3 atoms interact with electrons on the helium surface. These interactions can be detected with high precision, offering a novel approach to dark matter detection at extremely low temperatures.4

Quantum sensors are not only pivotal in dark matter detection but also in the study of gravitational waves, which can indirectly indicate the presence of dark matter. The use of quantum entanglement to enhance the sensitivity of gravitational wave detectors, such as those proposed by the European Space Agency (ESA), can improve the understanding of both gravitational waves and dark matter. These enhanced detectors can identify subtle changes in spacetime caused by dark matter interactions.1,2

Space-based quantum sensors are integral to missions like the Laser Interferometer Space Antenna (LISA) and AEDGE. These missions aim to place quantum sensors in space to avoid terrestrial noise and detect dark matter with higher accuracy. The cold atom experiments on the International Space Station (ISS) are precursors to these larger missions, demonstrating the feasibility and potential of quantum sensing in space.2

Quantum sensors, while celebrated for their high sensitivity, still encounter several technical hurdles. The requirements for maintaining quantum superposition and entanglementsuch as extremely low temperatures and isolation from environmental disturbancesare complex and expensive. These conditions are crucial for the precise measurements needed in dark matter detection.1

These sensors are also highly sensitive to external noise, including electromagnetic interference and vibrations. While this sensitivity is advantageous for detecting subtle signals, it complicates the task of distinguishing desired signals from background noise. To counter this, advanced shielding and noise cancellation techniques are necessary.1,2

Additionally, the large volumes of data produced by quantum sensors demand sophisticated data processing algorithms. Identifying faint signals indicative of dark matter amidst this noise presents a significant computational challenge. While quantum computing shows promise in addressing these complexities, integrating it into practical systems remains an active area of research.

Lastly, the long-term stability and calibration of quantum sensors are vital for dependable measurements. Any drift or instability in sensor performance can yield inaccurate results. Ongoing monitoring and recalibration are essential to maintain the precision of these sensors.1,3

The role of quantum sensors in dark matter exploration marks a significant advancement in human efforts to understand the cosmos. The evolution of this technology, from atomic clocks to sophisticated interferometers and space-based experiments, showcases the innovative methods developed by scientists to identify dark matter.

As quantum sensors continue to advance, their sensitivity and precision will boost dark matter research, potentially resulting in groundbreaking discoveries in the near future. The incorporation of quantum sensors with other technologies and the introduction of quantum computing will further bolster their capabilities, cementing their status as essential tools in the quest for dark matter.

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

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Quantum Sensors Unveil the Mysteries of Dark Matter - AZoQuantum

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Precision instrument bolsters efforts to find elusive dark energy – EurekAlert

image:

Physicists at UC Berkeley immobilized small clusters of cesium atoms (pink blobs) in a vertical vacuum chamber, then split each atom into a quantum state in which half of the atom was closer to a tungsten weight (shiny cylinder) than the other half (split spheres below the tungsten). By measuring the phase difference between the two halves of the atomic wave function, they were able to calculate the difference in the gravitational attraction between the two parts of the atom, which matched what is expected from Newtonian gravity.

Credit: Cristian Panda/UC Berkeley

Dark energy a mysterious force pushing the universe apart at an ever-increasing rate was discovered 26 years ago, and ever since, scientists have been searching for a new and exotic particle causing the expansion.

Pushing the boundaries of this search, University of California, Berkeley physicists have now built the most precise experiment yet to look for minor deviations from the accepted theory of gravity that could be evidence for such a particle, which theorists have dubbed a chameleon or symmetron.

The experiment, which combines an atom interferometer for precise gravity measurements with an optical lattice to hold the atoms in place, allowed the researchers to immobilize free-falling atoms for seconds instead of milliseconds to look for gravitational effects, besting the current most precise measurement by a factor of five.

Though the researchers found no deviation from what is predicted by the theory spelled out by Isaac Newton 400 years ago, expected improvements in the precision of the experiment could eventually turn up evidence that supports or disproves theories of a hypothetical fifth force mediated by chameleons or symmetrons.

The ability of the lattice atom interferometer to hold atoms for up to 70 seconds and potentially 10 times longer also opens up the possibility of probing gravity at the quantum level, said Holger Mller, UC Berkeley professor of physics. While physicists have well-tested theories describing the quantum nature of three of the four forces of nature electromagnetism and the strong and weak forces the quantum nature of gravity has never been demonstrated.

"Most theorists probably agree that gravity is quantum. But nobody has ever seen an experimental signature of that," Mller said. "It's very hard to even know whether gravity is quantum, but if we could hold our atoms 20 or 30 times longer than anyone else, because our sensitivity increases with the second or fourth power of the hold time, we could have a 400 to 800,000 times better chance of finding experimental proof that gravity is indeed quantum mechanical."

Aside from precision measurements of gravity, other applications of the lattice atom interferometer include quantum sensing.

"Atom interferometry is particularly sensitive to gravity or inertial effects. You can build gyroscopes and accelerometers," said UC Berkeley postdoctoral fellow Cristian Panda, who is first author of a paper about the gravity measurements set to be published this week in the journal Nature and is co-authored by Mller. "But this gives a new direction in atom interferometry, where quantum sensing of gravity, acceleration and rotation could be done with atoms held in optical lattices in a compact package that is resilient to environmental imperfections or noise."

Because the optical lattice holds atoms rigidly in place, the lattice atom interferometer could even operate at sea, where sensitive gravity measurements are employed to map the geology of the ocean floor.

Dark energy was discovered in 1998 by two teams of scientists: a group of physicists based at Lawrence Berkeley National Laboratory, led by Saul Perlmutter, now a UC Berkeley professor of physics, and a group of astronomers that included UC Berkeley postdoctoral fellow Adam Riess. The two shared the 2011 Nobel Prize in Physics for the discovery.

The realization that the universe was expanding more rapidly than it should came from tracking distant supernovas and using them to measure cosmic distances. Despite much speculation by theorists about what's actually pushing space apart, dark energy remains an enigma a large enigma, since about 70% of the entire matter and energy of the universe is in the form of dark energy.

One theory is that dark energy is merely the vacuum energy of space. Another is that it is an energy field called quintessence, which varies over time and space.

Another proposal is that dark energy is a fifth force much weaker than gravity and mediated by a particle that exerts a repulsive force that varies with the density of surrounding matter. In the emptiness of space, it would exert a repulsive force over long distances, able to push space apart. In a laboratory on Earth, with matter all around to shield it, the particle would have an extremely small reach.

This particle has been dubbed a chameleon, as if it's hiding in plain sight.

In 2015, Mller adapted an atom interferometer to search for evidence of chameleons using cesium atoms launched into a vacuum chamber, which mimics the emptiness of space. During the 10 to 20 milliseconds it took the atoms to rise and fall above a heavy aluminum sphere, he and his team detected no deviation from what would be expected from the normal gravitational attraction of the sphere and Earth.

The key to using free-falling atoms to test gravity is the ability to excite each atom into a quantum superposition of two states, each with a slightly different momentum that carries them different distances from a heavy tungsten weight hanging overhead. The higher momentum, higher elevation state experiences more gravitational attraction to the tungsten, changing its phase. When the atom's wave function collapses, the phase difference between the two parts of the matter wave reveals the difference in gravitational attraction between them.

"Atom interferometry is the art and science of using the quantum properties of a particle, that is, the fact that it's both a particle and a wave. We split the wave up so that the particle is taking two paths at the same time and then interfere them at the end," Mller said. "The waves can either be in phase and add up, or the waves can be out of phase and cancel each other out. The trick is that whether they are in phase or out of phase depends very sensitively on some quantities that you might want to measure, such as acceleration, gravity, rotation or fundamental constants."

In 2019, Mller and his colleagues added an optical lattice to keep the atoms close to the tungsten weight for a much longer time an astounding 20 seconds to increase the effect of gravity on the phase. The optical lattice employs two crossed laser beams that create a lattice-like array of stable places for atoms to congregate, levitating in the vacuum. But was 20 seconds the limit, he wondered?

During the height of the COVID-19 pandemic, Panda worked tirelessly to extend the hold time, systematically fixing a list of 40 possible roadblocks until establishing that the wiggling tilt of the laser beam, caused by vibrations, was a major limitation. By stabilizing the beam within a resonant chamber and tweaking the temperature to be a bit colder in this case less than a millionth of a Kelvin above absolute zero, or a billion times colder than room temperature he was able to extend the hold time to 70 seconds.

He and Mller published those results in the June 11, 2024, issue of Nature Physics.

In the newly reported gravity experiment, Panda and Mller traded a shorter time, 2 seconds, for a greater separation of the wave packets to several microns, or several thousandths of a millimeter. There are about 10,000 cesium atoms in the vacuum chamber for each experiment too sparsely distributed to interact with one another dispersed by the optical lattice into clouds of about 10 atoms each.

"Gravity is trying to push them down with a force a billion times stronger than their attraction to the tungsten mass, but you have the restoring force from the optical lattice that's holding them, kind of like a shelf," Panda said. "We then take each atom and split it into two wave packets, so now it's in a superposition of two heights. And then we take each one of those two wave packets and load them in a separate lattice site, a separate shelf, so it looks like a cupboard. When we turn off the lattice, the wave packets recombine, and all the quantum information that was acquired during the hold can be read out."

Panda plans to build his own lattice atom interferometer at the University of Arizona, where he was just appointed an assistant professor of physics. He hopes to use it to, among other things, more precisely measure the gravitational constant that links the force of gravity with mass.

Meanwhile, Mller and his team are building from scratch a new lattice atom interferometer with better vibration control and a lower temperature. The new device could produce results that are 100 times better than the current experiment, sensitive enough to detect the quantum properties of gravity. The planned experiment to detect gravitational entanglement, if successful, would be akin to the first demonstration of quantum entanglement of photons performed at UC Berkeley in 1972 by the late Stuart Freedman and former postdoctoral fellow John Clauser. Clauser shared the 2022 Nobel Prize in Physics for that work.

Other co-authors of the gravity paper are graduate student Matthew Tao and former undergraduate student Miguel Ceja of UC Berkeley, Justin Khoury of the University of Pennsylvania in Philadelphia and Guglielmo Tino of the University of Florence in Italy. The work is supported by the National Science Foundation (1708160, 2208029), Office of Naval Research (N00014-20-1-2656) and Jet Propulsion Laboratory (1659506, 1669913).

Experimental study

Measuring gravitational attraction with a lattice atom interferometer

26-Jun-2024

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Precision instrument bolsters efforts to find elusive dark energy - EurekAlert

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Emergent quantum phase transition of a Josephson junction coupled to a high-impedance multimode resonator – Nature.com

Quantum circuit model

Let us consider the multimode circuit QED system in Fig.1a, namely a Josephson junction coupled to a lumped-element transmission line. As detailed in the Methods, the quantum Hamiltonian has been derived from the circuit Lagrangian depending on C and , respectively, the capacitance and inductance matrices. The system degrees of freedom are described by the vector , containing independent flux variables41, indicated in Fig.1a. To get the final form, we have performed a simultaneous diagonalization of C and via the basis change =P. Through a Legendre transform and identifying as the junction phase =kP0kk, we have obtained the classical Hamiltonian (for an analogous procedure see42). Finally, by quantizing the degrees of freedom, we get the quantum Hamiltonian in the charge gauge

$$hat{{{{{{{{mathcal{H}}}}}}}}}={hat{{{{{{{{mathcal{H}}}}}}}}}}_{J}+sumlimits_{k=1}^{{N}_{m}}hslash {omega }_{k}{hat{a}}_{k}^{{{{dagger}}} }{hat{a}}_{k}+ihat{N}sumlimits_{k=1}^{{N}_{m}}{g}_{k}({hat{a}}_{k}^{{{{dagger}}} }-{hat{a}}_{k}),$$

(1)

where ({hat{{{{{{{{mathcal{H}}}}}}}}}}_{J}=4{E}_{C}{hat{N}}^{2}-{E}_{J}cos hat{varphi }) and ({hat{a}}_{k}^{{{{dagger}}} }) is the bosonic creation operator for the kth mode and ({g}_{k}=2sqrt{hslash {omega }_{k}{E}_{C}}{P}_{0k}) its coupling to the junction. Here we used the following sum rule, due to the normalization identity PTCP=I,

$${P}_{00}^{2}+frac{1}{4{E}_{C}}sumlimits_{k=1}^{{N}_{m}}frac{{g}_{k}^{2}}{hslash {omega }_{k}}=1.$$

(2)

a Representation of a circuit consisting of a Josephson junction (red) of Josephson energy EJ and capacitive energy EC coupled to a transmission line resonator. The fluxes used to describe the circuit are indicated with black dots. b Energy bands of the uncoupled junction in terms of the quasi-charge for EJ=0.5EC. c Frequencies of the transmission line modes versus the mode number. d Junction-line couplings in the charge gauge as a function of the mode frequency for different values of the impedance Z. For these last two panels: plasma frequency p=5EC and free spectral range =0.2EC (see definition in the text).

The frequencies and couplings in (1) depend on the capacitive and inductive matrices. Illustrative values are shown in Fig.1c, d. A lumped-element circuit possesses an upper frequency cutoff, known as the plasma frequency p. Overall, the line has three key parameters: the impedance (Z=sqrt{L/C}), the plasma frequency ({omega }_{p}=2/sqrt{LC}), and the free spectral range ({{Delta }}=frac{pi }{sqrt{LC}}frac{1}{{N}_{m}}), where Nm is the number of modes. The phase transition is expected to emerge in the thermodynamic limit Nm, that is equivalent to 0.

It is insightful to consider the basis diagonalizing the last two terms of (1), namely (leftvert N,{{{{{{{bf{n}}}}}}}}rightrangle={leftvert Nrightrangle bigotimes }_{k=1}^{{N}_{m}}leftvert {alpha }_{N,k},{n}_{k}rightrangle), where (leftvert {alpha }_{N,k},{n}_{k}rightrangle={D}_{k}({alpha }_{N,k})leftvert {n}_{k}rightrangle), with ({D}_{k}(alpha )=exp (alpha {hat{a}}_{k}^{{{{dagger}}} }-{alpha }^{*}{hat{a}}_{k})) the displacement operator43 for the kth mode with ({alpha }_{N,k}=iNfrac{{g}_{k}}{hslash {omega }_{k}}), and n is a vector with the number of photons in each mode. The only nontrivial term in (1) is the junction Hamiltonian: the dressing of the junction by the line can be determined by inspecting its matrix elements in such a basis. As detailed in the Methods, the coupling to the line effectively produces a renormalized Josephson energy

$${widetilde{E}}_{J}=exp left(-frac{1}{2}sumlimits_{k=1}^{{N}_{m}}frac{{g}_{k}^{2}}{hslash {omega }_{k}^{2}}right){E}_{J},$$

(3)

independent of the number of photons in the modes. The remaining effect is a renormalized capacitive energy

$${widetilde{E}}_{C}={P}_{00}^{2}{E}_{C} , < ,{E}_{C}.$$

(4)

P00 vanishes in the thermodynamic limit and has been taken to be exactly zero in a recent study of the phase transition23. However, the way it approaches zero in the thermodynamic limit is important and cannot be neglected. Indeed, also the renormalized Josephson energy ({widetilde{E}}_{J}) tends to zero for 0.

The properties of the infinite system will hence be determined by the asymptotic behavior of their ratio. We computed such analytical expression by injecting the numerically evaluated values of gk, k and P00 for different values of the impedance Z and decreasing values of . The results are summarized in Fig.2. One can see that both ({widetilde{E}}_{C}) and ({widetilde{E}}_{J}) decrease for all values of Rq/Z while is decreased (Fig.2b, c). However, while ({widetilde{E}}_{C}) monotonically decreases while increasing Rq/Z, ({widetilde{E}}_{J}) first decreases and then increases. The ratio of the two quantities ({widetilde{E}}_{J}/{widetilde{E}}_{C}) instead displays a striking behavior (Fig.2d): for small enough it sharply decreases from 1 to very small values and then grows again. Remarkably, the curves for different values of all cross for Z=Rq, with the curves for larger sizes (smaller ) tending to smaller values for Rq/Z<1, and to larger values for Rq/Z>1. The inset Fig.2e shows that the slope of the curves at Z=Rq grows logarithmically with 1. We can conclude that in the thermodynamic limit the ratio ({widetilde{E}}_{J}/{widetilde{E}}_{C}) tends to 0 for Rq/Z<1 (apart from Rq/Z=0, for which no renormalization can occur) and to infinity for Rq/Z>1.

a In the thermodynamic limit the full system can be understood as a renormalized junction. b, c Renormalized capacitive and Josephson energies computed from (4) and (3) for different values of . d Ratio of the renormalized Josephson and charging energies. e Slope of the ratio at Z=Rq showing logarithmic growth in the thermodynamic limit. For these plots EJ=EC and p=2EC.

This points at the two expected phases: for Rq/Z<1 the charging energy dominates (so-called insulating behavior), for Rq/Z>1 the charging energy is negligible (so-called superconducting behavior). We emphasize that our theoretical analysis predicts a singular point for Z=Rq, independently of the bare ratio EJ/EC, and that the compact or extended nature of the junction phase does not play a role here.

To complete our investigation and fully characterize the emergence of the two phases we have applied exact diagonalization techniques44,45 to our Hamiltonian (1) for finite-size systems. To extend the reachable sizes, we have taken full advantage of Josephson potential periodicity and of Bloch theorem. Indeed, we can introduce the eigenstates of the junction Hamiltonian (leftvert nu,srightrangle={e}^{inu varphi }{u}_{nu }^{s}(varphi )), where is the quasi-charge and s is the band index. In our charge gauge representation, the full Hamiltonian is block diagonal and for each we need to diagonalize the following matrix:

$${hat{H}}_{nu }= sumlimits_{s}{varepsilon }_{nu }^{s}leftvert nu,srightrangle leftlangle nu,srightvert+sumlimits_{k=1}^{{N}_{m}}hslash {omega }_{k}{hat{a}}_{k}^{{{{dagger}}} }{hat{a}}_{k}\ +isumlimits_{k=1}^{{N}_{m}}{g}_{k}({hat{a}}_{k}^{{{{dagger}}} }-{hat{a}}_{k})sumlimits_{s,r}leftlangle nu,rrightvert hat{N}leftvert nu,srightrangle leftvert nu,rrightrangle leftlangle nu,srightvert,$$

(5)

where ({varepsilon }_{nu }^{s}) are the eigenenergies of the bare junction with [0.5,0.5] (Brillouin zone). Note that the spectrum is even with respect to , so we can restrict to positive values only.

Illustrative energy bands for the bare junction are reported in Fig.1b. An example of the obtained energy bands for the interacting system is shown in Fig.3 versus Z. Different colors correspond to different values of the free spectral range for the same p (i.e., to different numbers of modes), and the energies are rescaled by . For Rq/Z0, the junction and the modes are decoupled: the spectrum is given by the bare junction bands with replicas due to a finite number of bosons in the modes. For finite Rq/Z instead, the interaction manifests in energy anticrossings. To investigate a quantum phase transition, the behavior of the ground state and of the low-lying excited states is crucial. While increasing Rq/Z, the first energy band becomes narrower, corresponding to a reduced effective charging energy (see Fig.2b). However, the curvature of the first band cannot change, since the sum rule (2) implies that ({widetilde{E}}_{C}ge 0). This means that the ground state is always at =0. The first excited band instead changes its shape while varying Z. When the system is not coupled (Rq/Z=0), it is simply a one-photon replica of the first band. Instead, when Rq/Z is increased, the slope changes (see Fig.3f, g). The low-energy spectrum of the full system at low impedances is reminiscent of the bare junction spectrum, although at much smaller energies. This qualitative behavior of the first few bands occurs for different sizes, although at smaller energies for smaller (different colors in Fig.3). Interestingly, the rescaled bands overlap in the best way for Z=Rq, confirming the universality observed in Fig.2d. Away from this point, for both larger and smaller values of Z, the rescaled spectra do not overlap any longer. This is reminiscent of the finite-size scaling of continuous phase transitions.

ag Bands for different impedances Z, as indicated in the subplot titles. The different line colors correspond to different free spectral ranges (see legend). The differences of the energies and the ground state energy EG are plotted and the vertical axis is rescaled by . In these plots EJ=0.5EC and p=2EC.

In the exact diagonalization studies, we considered an extended phase and applied Blochs theorem. Now, since the full Hamiltonian for our finite-size system does not couple different quasi-charges , the results for a compact phase are independent of the phase being fundamentally extended or compact. Indeed, we found that the ground state always occurs for =0, which corresponds to a periodic wavefunction. This independence of the phase transition on the extended/compact nature of the junction phase was also discussed in22. For more general shunts (e.g., inductive) an extended phase is relevant27 and this may be needed to describe transport through the junction.

In Fig.4a we plot the ground state energy versus Rq/Z: surprisingly, it has a weak dependence on the system size, and no precursor of a critical behavior is apparent. Figure4b instead reports the energies of the first few excited states, separated from the ground state by an energy of the order of for all the values of Z. In the thermodynamic limit, the system is expected to be gapless for all values of Z: hence, the phase transition needs to emerge with a different mechanism. Indeed, around Z=Rq the first three excited levels exhibit an anticrossing. This corresponds to the observation we already made for Fig.3 that the first excited band passes from being a one-photon replica to a dressed Josephson band. For a compact phase, this occurs around Z=Rq, with the splitting of the resulting anticrossing (but not the position) depending on EJ, as displayed in Fig.5a. As in Fig.3, while decreasing all the rescaled spectra exhibit a universal behavior at Z=Rq. Hence, when approaching the thermodynamic limit, for a fixed EJ the anticrossing becomes narrower and narrower, meaning that the signature of the phase transition first emerges in the first excited states. At the same time, the spectrum is gapless in the 0 limit so that a singular behavior in the first excited state necessarily reflects on the ground state.

a Ground state energy for different free spectral ranges. b Corresponding dependence of the first few excited state energies for a compact phase (=0). c Junction charge fluctuations in the ground state for different free spectral ranges. d Energy difference between the first two bands at the edge of the Brillouin zone =0.5. In all the panels EJ=0.5EC and p=2EC.

a Dependence on EJ of the anticrossing involving the first three excited states for a compact phase (=0). Here =0.55EC and p=2EC. b Energy difference between the first two bands at the edge of the Brillouin zone (=0.5) showing the universality at Rq/Z=1 for a wide range of EJ. Solid lines =0.55EC, dashed lines =0.41.

While a compact phase is the only relevant quantity for the ground state of the system, the response of the system to external perturbations can depend on the full bands. To better highlight the behavior of the low-lying bands, in Fig.4d we show the behavior of the gap between the first and second bands at the edge of the Brillouin zone. The ratio of the gap and the free spectral range displays a behavior analogous to the renormalized parameters of Fig.2, with the gap closing for larger systems for Rq/Z<1. This means that the low energy spectrum is approaching a capacitive free particle" behavior. The opposite is true for Rq/Z>1. As shown in Fig.5b, this behavior extends to larger values of EJ.

Importantly, however, the ground state does not behave in the same way, as can be seen for example by computing observables for the junction degrees of freedom. As an example, we show in Fig.4c the charge fluctuations ({sigma }_{N}^{2}={{{{{{{rm{tr}}}}}}}}({hat{rho }}_{J}{hat N}^{2})-{{{{{{{rm{tr}}}}}}}}{({hat{rho }}_{J}hat N)}^{2}), with ({hat{rho }}_{J}) the reduced density matrix for the junction (analogous results are obtained, for example, for ({{{{{{{rm{tr}}}}}}}}({hat{rho }}_{J}cos hat{varphi }))). For Rq/Z>1 the charge fluctuations have a strong dependence on the system size. For Rq/Z<1 instead, the size dependence is much smaller, and the fluctuations never fall below the Cooper pair box value that is obtained for Rq/Z0 (horizontal dashed line). This, however, does not mean that the transition does not affect the ground state, as signaled by the different size dependence of the charge fluctuations on the two sides of Rq/Z=1. The emergence of the singularity in the ground state in the thermodynamic limit is, however, slow, and we can only see a precursor.

We believe that this peculiar difference of behavior between the ground state and the excited states is at the origin of much of the recent controversy over this phase transition, specifically over the characterization of the so-called insulating state. In particular, in the thermodynamic limit, the ground state is not approaching a purely capacitive behavior. However, the response of the system to a gate charge (i.e., to a change in the quasi-charge) changes sharply at the transition point.

To understand the fate of the higher frequency modes at the transition point, we focus on the compact-phase Hamiltonian, given by equation (5) for =0. For EJ=0, the dressed excited bands (charge states) energies are ({varepsilon }_{0}^{n}({E}_{J}=0)=4{widetilde{E}}_{C}{n}^{2}), with n an integer. In this limit, the effect of the transition on the photons can be understood by simply plotting the Z-dependent mode energies and the same energies shifted by the first dressed charge state ({varepsilon }_{0}^{1}({E}_{J}=0)). We show these two sets of energy branches in Fig.6. The two lowest solid and dashed curves are respectively the first photon energy 1 and ({varepsilon }_{0}^{1}({E}_{J}=0)). Note that they cross at Z=Rq. With a finite EJ the crossing is replaced by the anticrossing highlighted in Fig.5a. Above these levels, for energies small enough with respect to p, also the kth photonic mode energy k crosses the energy ({varepsilon }_{0}^{1}({E}_{J}=0)+hslash {omega }_{k-1}) at Z=Rq. This degeneracy is again lifted for EJ0. Hence, around the transition point, all the single photon states will hybridize. Note that the crossing of the first two curves,which is essentially determined by the universality highlighted in Fig.2, is robust with respect to the intrinsic ultraviolet cutoff given by the Josephson plasma frequency p. For the excited states, there is eventually an important shift of the crossing point at high energies, that would be absent in the limit p (a non-dispersive line). The same shift is also present for much smaller free spectral ranges, of the order of the ones in the experiment39, as shown by the red line in Fig.6. For modes above the third, also states involving higher dressed bands play a significant role. Moreover, states with more than one photon are also present. For energies small enough with respect to p (equidistant modes) these are also degenerate with the single-photon energies at the transition point, increasing the number of levels that participate the hybridization.

Single photon energies (solid lines) and the same energies shifted by the energy of the first excited renormalized junction band for =0 (dashed lines) with EJ0, =0.5EC and p=5EC. The nth mode energy and the nth level of the shifted branch have the same color. Their intersection point is highlighted by a black dot. The solid red line shows the intersections for a much smaller free spectral range =0.02EC.

Recent experiments have observed a striking signature of the transition from the dispersion of high-frequency modes39. With the results of our exact diagonalization, we can calculate the linear-response photonic spectral function

$$D(E)=sumlimits_{n}frac{{gamma }^{2}}{{gamma }^{2}+{(E-{E}_{n}+{E}_{G})}^{2}}| leftlangle Grightvert sumlimits_{k}({a}_{k}+{a}_{k}^{{{{dagger}}} })leftvert {E}_{n}rightrangle {| }^{2},$$

(6)

where En ((leftvert {E}_{n}rightrangle)) is the nth excited eigenenergy (eigenstate) of the full system, EG ((leftvert Grightrangle)) the ground energy (state) and is a phenomenological broadening. Here, as in the experiment, we have considered a SQUID that is equivalent to a junction with EJ that can be tuned by a magnetic field. Illustrative spectra versus the external magnetic flux are shown in Fig.7. We observe a clear change of sign of the photon frequency dispersion across the transition, as observed in39. This effect was linked to a capacitive/inductive behavior of the junction and here we see that it microscopically originates from the crossings observed in Fig.6. The broadening observed in39 for high energy modes is instead not present because of the moderate size of the system simulated here with exact diagonalization techniques. In fact, it relies on multiple resonances between single and multi-photon states37. In Fig.7, one can see the state belonging to the shifted set of levels acquiring a finite single-photon component near the crossing point for /00.5, that is for ({E}_{J} neq 0). For larger and smaller impedances, this state is dark, i.e., it does not contribute to this spectral function.

Color plot of D(E) around the bare energy of a photonic mode versus normalized flux bias (0=h/2e). The panels correspond to different values of Rq/Z with EJ=0.1EC, =0.5EC and p=5EC.

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Quantum Simulations Reveal New Insights into Behavior of Neutrinos Fueling Supernovas – The Debrief

Sometimes, the biggest things in the universe can be propelled forward by the universes smallest particles. This seems to be the case for supernovas, which create multitudes of subatomic particles known as neutrinos. These chargeless particles rarely interact with other matter, but when supernovas collapse, they help fuel this nuclear reaction.

At this point, the neutrinos go from passive particlesalmost bystandersto major elements that help drive the collapse, explained Martin Savage, a professor of physics at the University of Washington, in a recent press release. Supernovae are interesting for a variety of reasons, including as sites that produce heavy elements such as gold and iron. If we can better understand neutrinos and their role in the stars collapse, then we can better determine and predict the rate of events such as a supernova.

To better understand the interactions and behaviors of neutrinos within the dying stars, Savage and his collaborator, Marc Illa, ran complicated simulations on a quantum computer as part of the Oak Ridge Leadership Computing Facility. Their results, published in Physical Review Letters, reveal further insights into how these particles behave during stellar collapse.

Within the Standard Model of Physics, neutrinos play a key role since they are considered the most abundant particle with mass in the Universe. Their nearly weightless and chargeless characteristics make them impossible to measure. Neutrinos are born from nuclear reactions, from those in the sun to those happening within an atomic bomb.

Physicists originally predicted the neutrinos existence in 1930, but it wasnt until 1956 that they could measure the neutrinos existence. However, key questions remain that scientists are currently trying to answer, including the exact mass of the neutrino and how it interacts with other matter, like that found in the center of a supernova.

The explosive ending of a star, or a supernova, happens when the star runs out of gas to create nuclear fusion reactions and collapses in on itself. The nuclear fusion reactions (often fueled by hydrogen) help produce an outward flow of energy that stops the star from collapsing inward. However, at the end of a stars life cycle, the inward collapse occurs when the stars gravitational forces take over, causing the stars temperature to spike.

At that point, the star is then classified as a red giant, as hydrogen fusion only happens at the stars outer edges. Once the star loses its outer layers, it becomes a white dwarf. If the white dwarf has enough mass, it is considered a supernova. At this point, the core collapses with an extremely violent explosion, more powerful than nuclear warheads. The stars core survives as either a black hole or a neutron star.

While supernovas arent very common, the chemical reactions happening within them have fascinated scientists for decades. Scientists have been able to detect spikes of neutrinos coinciding with supernova events, as neutrinos are believed to exchange both energy and momentum with other matter in the explosion.

For Savage and Illa, one way to look at these potential interactions further was to simulate their own supernova explosion. Previously, scientists have simulated this process on classical computers, but the researchers wanted to dive further. They hoped to use a quantum computer to simulate the quantum states of neutrinos within the supernova.

Quantum computers utilize quantum mechanical properties such as entanglement and superposition to solve more complex problems than traditional computers. To do this, quantum computers use quantum bits or qubits, often neutral or superconducting atoms, photons, or other particles, to process and run algorithms. The particles are then read out to reveal a final solution to whatever input was given.

Looking at previous research, Savage and Illa saw that other scientists believed that the neutrinos became entangled within the supernova process.

These neutrinos are entangled, which means theyre interacting not just with their surroundings and not just with other neutrinos but with themselves, Savage said in the press release. Its extremely difficult to simulate this kind of system, because entanglements an intrinsically quantum-mechanical property beyond what we can capture and approximate in classical computing. Thats why we need a quantum computer that uses calculations based on quantum physics to model whats happening.

Using a quantum computer provided by the quantum company Quantinuum through the Oak Ridge Leadership Computing Facility program, the researchers could simulate the interactions between 12 neutrinos (though a traditional supernova contains a septendecillion, or 1054 neutrinos).

From their simulations, the researchers saw in more detail how the neutrinos could become entangled, how they changed their characteristics, and how they became different types of neutrinos than what they started with. The team hopes to expand their simulation to include 50 neutrinos.

These circuits turned out to approximate the neutrinos behavior very well, Savage said. We discovered we could use these simulations to measure neutrino entanglement in a statistically significant way and that we could identify a significant scaling in size as the number of neutrinos increased. This was the first time this kind of study had been done.

Kenna Hughes-Castleberry is the Science Communicator at JILA (a world-leading physics research institute) and a science writer at The Debrief. Follow and connect with her on X or contact her via email at kenna@thedebrief.org

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Data science pioneer and IST icon C. Lee Giles to retire after 21 years – Penn State University

UNIVERSITY PARK, Pa. The Penn State College of Information Sciences and Technology(IST) has announced the retirement ofC. Lee Giles, the David Reese Professor of Information Sciences and Technology. While he will end his teaching career on June 30, he will continue to pursue his research and advise graduate students at University Park.

We have been so fortunate to have had Lee in our college for two decades, said Andrea Tapia, dean of the College of IST. There is so much to say about his trailblazing career: I encourage everyone to search C. Lee Giles on Google and Wikipedia. He has been an asset to Penn State and to the Information Age.

Giles came to the College of IST less than a year after it opened its doors, joining with tenure and the named professorship. A self-described physicist-turned-computer scientist, he is a pioneer in data sciences and neural networks. As an information retrieval person, he has been involved in the creation and development of an array of search engines and digital libraries.

Early in his career, Giles moved from physics to computer science and became well-known for his work on neural networks, just as the web was beginning to explode. In 1997, he co-created CiteSeer the first automated citation indexing system and a predecessor of Google Scholar and Microsoft Academic Search.

CiteSeer has been my greatest career accomplishment, Giles said. I began that work at Princeton with Steve Lawrence, who later helped to get Google up and running, and Kurt Bollacker, who created Freebase. We worked to put computer science papers on the web, rather than keep them hidden in journals with no open access. We indexed them. Made them searchable. It was the start of great things.

Giles, with Lawrence, was estimating the size of the web, building search engines and generating a lot of publicity, including a front-page story for The New York Times in 1999. Their capture/recapture efforts revealed that existing search engines werent being truthful, and in a story for The Wall Street Journal, they told people what was really out there.

In 2003, Giles moved the CiteSeer equipment to Penn State via sneakernet that is, in the back of a station wagon and has since built a second version, CiteSeerX, with support from the College of IST.

Thanks to Lee, we can easily do forward literature search, something that was impossible before CiteSeer, said John Yen, professor in the College of IST. And thanks to Lee, citation counts can be generated automatically and reliably and used an important measure for impacts of scholarship worldwide; the field of big scholarly data was created; and we have recurrent neural networks, a precursor to deep neural networks, transformers, large language models and generative pre-trained transformers.

Yen credited Giles for helping him find his way to the exhilarating start-up College of IST in 2000. Dongwon Lee, professor in IST, said he was also inspired by Giles to come to Penn State.

When I was searching for my first academic job, I was hesitant about joining a young new college that wasnt the pure computer science I was trained, in, he said. The presence of Lee and his group convinced me to join IST. I have never regretted that decision and have since become an enthusiastic advocate for the interdisciplinary and social impacting type of research that Lee has been doing for decades. He has been a wonderful mentor and colleague.

Beyond CiteSeer and CiteSeerX, Giles has co-developed other specialty search engines, including ChemXSeer for chemistry, BotSeer for robots.txt, CollabSeer for collaboration searches, ArchSeer for archaeology, RefSeer for citations, AckSeer for acknowledgements and BizSeer for academic business.

Lees contributions to the field are legendary he is a visionary and a great human being, said Prasenjit Mitra, professor in the College of IST. Lee was my mentor, and I thoroughly enjoyed working on CiteSeerX, ChemXSeer and a few smaller seers. I will cherish the fact that I am possibly the one who has co-authored the most with him. And I am glad he will still be research-active our students need him.

Giles has been a big draw for students searching for a doctorate in informatics and computer science. Giles has graduated 37 such students and has more in the pipeline. He remains in touch with many of them long after they leave IST. Many of his publications involve collaborations with other faculty.

Ph.D. students come to me by reputation, but they have to be independent learners, he said. I dont tell them exactly what to do I guide them in the right direction. My students have gone on to do great things, not the least of which is creating upwards to a billion dollars in wealth.

Giles earned bachelors degrees from Rhodes College and the University of Tennessee, a masters degree in physics from the University of Michigan and a doctoral degree in optical sciences from the University of Arizona. He taught at Princeton University, the University of Pennsylvania, Columbia University, the University of Pisa, the University of Trento and Clarkson University. He served as a program manager at the Air Force Office of Scientific Research (AFOSR), a research scientist at the Naval Research Laboratory, a senior research scientist at the NEC Research Institute and a research engineer at Ford Motor Companys Scientific Research Laboratory.

In a way, Lee got me started on my career in AI, said Vasant Honavar, professor in the College of IST. When he was a program manager at AFOSR, he funded my advisors work and hence my doctoral research on constructive learning at the University of Wisconsin when neural networks were at the very fringes of AI and machine learning.

Giless current research and consulting interests involve intelligent information search for specialty and niche domains and big data using AI and machine learning methods and the learning of sequences and formal grammars.

I cant wait to see what he does next, said Tapia.

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Data science pioneer and IST icon C. Lee Giles to retire after 21 years - Penn State University

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UA Launches New Center for AI Research and Development – UA News Center

The University of Alabama is setting a new standard for AI research and education with the opening of the Alabama Center for the Advancement of Artificial Intelligence, housed within the College of Engineering.

The new research center, recently approved by the University of Alabama System Board of Trustees, is supported in part through a $2 million donation in honor of former chair of the department of computer science, Dr. Marvin A. Griffin. It will unify new and existing work across campus, greatly expanding research, education and outreach activities related to the development and application of artificial intelligence.

The launch of the ALA-AI Center marks a transformative moment in AI research and education here at The University of Alabama and for our state, showcasing UAs unwavering dedication to excellence, innovation, world-class education and in being at the forefront of the research and development of cutting-edge technologies, said Dr. Clifford Henderson, dean of the College of Engineering.

Serving as a pivotal hub for the study of AIs core mechanisms and its myriad applications, ALA-AI will focus on five fundamental themes:

ALA-AI will unify new and existing research efforts as part of a campus-wide collaboration between the College of Engineering, College of Arts and Sciences, Culverhouse College of Business, Capstone College of Nursing, College of Communication and Information Sciences, College of Education and School of Social Work.

A strategic alignment with the recently approvedHigh Performance Computing and Data Centerand theAlabama Cyber Instituteuniquely positions ALA-AI for close collaboration with industry partners and bolsters UA as a leader in computational and AI research.

Dr. Jiaqi Gong, associate professor of computer science, will serve as the inaugural director of the center. Dr. Sergei Gleyzer, associate professor of physics and astronomy, and Dr. Hee Yun Lee, distinguished professor and endowed academic chair in the School of Social Work, have been appointed as co-directors of ALA-AI.

The establishment of ALA-AI signifies a monumental leap forward in the realm of AI research and education at UA, Gong said. Through interdisciplinary collaboration and innovative initiatives, we aim to address the most pressing challenges and opportunities in AI, shaping a brighter future for Alabama and beyond through its responsible development and application.

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NMSU alum one of 10 selected for national genomic research fellowship – NMSU Newsroom

Mike Lopez graduated from New Mexico State University in fall 2023 with a bachelors degree in computer science and minors in biology and bioinformatics. Starting July 1, he will work as one of 10 post-baccalaureate genome analysts selected for the American Society of Human Genetics (ASHG)-National Human Genome Research Institute (NHGRI) Genomics and Public Service Fellowship. NHGRI is part of the National Institutes of Health (NIH) for the next two years.

I believe this opportunity is going to help boost my credibility as a scientist and help take me closer towards my future goals, said Lopez. My personal and professional goals center around human genomics. I am focused on how I can try to help improve personalized healthcare, whether that be through making it more accessible to more of the general population or improving upon its accuracy.

Ten fellows have been selected as part of a new expanded program for graduate and post-baccalaureate fellowships continuing two prestigious graduate-level fellowships in genetics and public policy, genetics education and engagement, and adding a third fellowship in genomics communications. The new post-baccalaureate fellowshipprovides additional fellows training opportunities at an earlier stage of their careers.

NHGRI is delighted to partner with ASHG in establishing the Genomics and Public Service Fellowship Program and welcoming our inaugural class of fellows, said NHGRI Director Eric Green, MD, PhD. The future of genomics depends on recruiting and training a rainbow of career professionals, including those with expertise in education, communications, policy, scientific programming and beyond. We are excited to help provide the next generation of genetics and genomics professionals with experiences and exposures that will help them navigate their career journeys.

As a post-baccalaureate genome analyst, Lopez will work with program directors from the NHGRI Extramural Research Program to see how genomics research, the study of genes, is funded and conducted, as well as how findings from this research are shared within and around the scientific community.

Computational biology uses data and genome analysis, mathematical modeling and computational simulations to understand biological systems. Learning about these differences and changes in genetic makeup can lead to the discovery of treatments for various diseases. Lopez plans to pursue a Ph.D. in computational biology, focused on the use of genomics to impact personalized healthcare.

A Las Cruces native, Lopez chose NMSU to stay close to his family and because both his parents were Aggies. A sense of connection and encouragement opened the path to pursue genomics research. After a lengthy application process and two extensive interviews, Lopez credits professors and programs at NMSU for helping him win the prestigious fellowship.

In my junior year, I joined the Maximizing Access to Research Careers (MARC) Program where my amazing mentor Donovan Bailey (NMSU biology professor) taught me how bioinformatics is used in research and showed me how to be an effective researcher, Lopez said. After joining the program, I had opportunities to travel all across the country and give research presentations.

The MARC Program has since been replaced by the Undergraduate Research Initiative for Scientific Enhancement (U-RISE) Program. Similarly to MARC, NMSUs U-RISE program promotes broad participation in the biomedical research workforce by strengthening research training environments and expanding the pool of well-trained students. This year, the program received a 5-year, $1.6 million grant from the National Institutes of Health, underscoring its success in training students like Lopez.

I cant say enough about the amazing faculty Ive met at NMSU, Lopez said. The dedication they have for their students and passion for amazing research has inspired me to strive for greatness in my own research as well as my personal and professional goals.

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CUTLINE: Mike Lopez, who graduated from New Mexico State University in fall 2023 with a bachelors degree in computer science, is one of 10 post-baccalaureate genome analysts selected for a national genomic research fellowship starting July 1. (Courtesy photo)

CUTLINE 2: New Mexico State University graduate Mike Lopez attributes much of his success to his time spent at NMSU. Biology professor Donovan Bailey is just one of many NMSU faculty members to inspire Lopez. (Photo by Donovan Bailey)

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Examining Data Science Through an Equity Lens | College of Computer, Mathematical, and Natural Sciences … – College of Computer, Mathematical, and…

Issues of race and gender have shaped computing since its beginning, now with increasing debate over algorithmic bias, surveillance, data privacy and more. As technology evolves to play a larger role in everyday life, its even more important that people understand how technology can reinforce systems of power.

This spring semester in a new course cross-listed in the University of Marylands Computer Science and Women, Gender, and Sexuality Studies (WGSS) departments, students examined the relationships between digital technology, power structures and social justice. The idea for the course, listed as CMSC115/WGSS115: Gender, Race and Computing, started with Elias Gonzalez (B.S. '17, computer science; M.Ed. 18, curriculum and instruction), a lecturer in the Department of Computer Science and Break Through Tech curriculum innovation lead.

For computer science students, the goal was to expose them to other ideas and other students outside of their computer science bubble, Gonzalez said. For the WGSS students and other majors, our goal was to show them that tech is an option for themand that they can apply tech to whatever area they want to study.

Another goal of the course was to open up opportunities for more women and nonbinary students to explore tech career paths, which is why Gonzalez says the collaboration with WGSS was a perfect fit. After developing the curriculum and laying the necessary groundwork, Computer Science Adjunct Lecturer Jennifer Manly and WGSS Associate Professor Alexis Lothian co-taught the course.

Research shows that women are drawn to computer science for ways that they can use tech to impact the world around them and make a difference, Manly said. And thats what this course was to meit was a way for us to offer something that appeals to students who are interested in making a difference and to offer up computer science in an approachable way.

Forty-four students enrolled in the course, representing 22 majors and eight UMD colleges and schools. Gonzalez worked with WGSS faculty members to structure the course so that computing experience was not a prerequisite. Throughout the semester, students learned data science basics and how to ask thoughtful questions about data and understand its fallibility. The curriculum applied an equity lens to data science by examining how systemic racism and sexism in computer science impact the everyday use of digital technology.

For every technical component included in homework assignments, Manly walked the class through an example in class. The semester culminated in a final project where students worked together to identify and analyze a publicly available dataset related to gender or race and create corresponding data visualizations.

Sophomore mathematics major Helen Duan and her teammates found datasets on labor conditions and child labor in the clothing industry and used Tableau to create graphs and infographics that showed their findings.

I would recommend this course to other students because the lecture material was really interesting and also applicable to my studies in STEM. I think these courses are necessary for promoting social justice and embedding it in our work, Duan said. The class definitely made me more aware of how many things are affected by hidden biases. I know Ill be more cautious in the future when collecting data and drawing conclusions.

Teaching students to be more conscious consumers of technology was an important outcome for Manly and Lothian.

Some of these students are going to go on to work in computer science and some are not, but all of us will be using tech, Manly said. All of us are using technology all the time, so leaving as more conscious consumers is a fantastic outcome.

Moving forward, Gonzalez plans to explore new opportunities for cross-listed computing courses.

I would love to see more courses like CMSC115, he said. I envision it as tech plus X, where students can apply technical skills to another field theyre interested in. I would love to work with other departments to help create computing classes where needed and serve the greater population of UMD.

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Researchers find better way to detect when older adults fall at home | Binghamton News – Binghamton University

When older adults fall at home, every second counts especially when they are alone.

New research from Binghamton University aims to cut reaction times with a human action recognition (HAR) algorithm that uses local computing power to analyze sensor data and detect abnormal movements without transmitting to a processing center offsite.

Professor Yu Chen and PhD student Han Sun from the Thomas J. Watson College of Engineering and Applied Sciences Department of Electrical and Computer Engineering designed the Rapid Response Elderly Safety Monitoring (RESAM) system to leverage the latest advancements in edge computing.

In a paper recently published in the IEEE Transactions on Neural Systems and Rehabilitation Engineering, they show that the RESAM system can run using a smartphone, smartwatch, laptop or desktop computer with 99% accuracy and a 1.22-second response time, ranking among the most accurate methods available today.

Chen said the research is important for an underserved population: When many people talk about high tech, they are discussing something cutting edge, like a fancier algorithm, a more powerful assistant to do jobs faster or having more entertainment available. We observed a group of people senior citizens who need more help but normally do not have sufficient resources or the opportunity to tell high-tech developers what they need.

By using devices already familiar to older people, rather than a full smart home setup, he thinks it gives them a better sense of control over their health. They dont need to learn new technology for the system to be effective.

Also, to protect peoples privacy, RESAM reduces the monitored images to skeletons, which still allows analysis of key points such as arms, legs and torso to determine if someone has fallen or suffered a different accident that could lead to injury.

The most dangerous place for falls is the bathroom, but nobody wants to set up a camera there, Chen said. People would hate it.

He sees the RESAM system as a cornerstone for a wider concept hes calling Happy Home, which could include thermal or infrared cameras and other sensors to remotely assess other aspects of a persons environment and well-being.

Adding more sensors can make our system more powerful, because we are not only monitoring someones body movements we can monitor someones health with one more dimension, so we better predict if somethings going to happen before it happens, he said.

Another idea, which Chen is exploring with Associate Professor Shiqi Zhang from the Department of Computer Science, is for the system to include a robot dog or similar pet that would keep a closer watch as someone did their daily tasks. Last fall, Zhang demonstrated how a robot dog might guide someone with visual impairment through tugs on a leash.

You could have a conversation with the robot, Chen said. For example, when you are heading to the bathroom, the dog may ask you, Would you mind if I follow you? The dog can make a better decision to move closer to monitor your status instead of having only fixed sensors in the room.

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