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Researchers Use Richard Feynman’s Ideas to Develop a Working ‘Theory of Everything’ – Interesting Engineering

The theory of everything is the idea that all of the main physical forces in the world around us: gravity, strong and weak nuclear forces, and electromagnetism, can be worked into one all-encompassing theory.

As of right now, physics theories solve one or two of the interactions of these forces, but no single one explains them all together, yet. Physicists are revising an experiment proposed by Richard Feynman in 1957 to hopefully find a uniting theory of everything.

The researchers from Oxford University and the University College London (UCL) have successfully found a theory that combines electromagnetism and the weak nuclear force, but none to connect all of them. Steven Weinberg, a theoretical physicist on the team and a Nobel Laureate, is leading the research.

Einstein's laws of general relativity and the theories of quantum mechanics do a fantastic job of explaining the world when they're kept in their own domains. However, they fall apart if you use the ideas therein to explain physics that the theory doesn't govern.

In order to grasp what the theory of everything would mean for Physics and the work that's going on to revitalize Feynman's ideas, first we need to understand the full scope of a "theory of everything."

The theory of everything, or TOE, is in brevity a single all-encompassing framework that links every aspect of the universe together, from relativity to quantum mechanics. The theory of everything is not a theory in and of itself with fully fleshed out ideas, but rather a term to describe the potential theory that may come to connect all the dots in the physical world.

The search for finding a TOE has been going on for some time now in the world of physics. String theory, a more common quantum physics theory, has been presented as a possible theory of everything in the past; M-theory being another. Both of these theories sit on the ideas of general relativity and quantum mechanics. Though these are theories themselves that don't overlap in their fields.

One of Richard Feynman's most famous quotes isI think I can safely say that nobody understands quantum mechanics.

Contextually that may seem confusing, understanding that Feynman was one of the greatest minds to live in the last 100 years. However, it was a great representation of what he thought of the field, that it couldn't be easily presented through metaphors or through relation to observable reality. The way that quantum mechanics works is so different from common sense physics that it takes a unique perspective to even begin to grasp.

RELATED: CHANDRA TELESCOPE SHOWS OFF THE THEORY OF EVERYTHING

Feynman was unique in the way that his brain worked to understand things. His biographer, James Gleick, noted that Feynman found it difficult to understand why everyday humans needed theories related back to them in tangible means.

He was able to seemingly grasp and understand nature just by reading and observing equations and mathematics. Feynman was also blisteringly good at taking highly complex topics and explaining them simply, a skill he noted was only present if you really truly understood something.

Feynman worked on some incredible experiments and theories in his time, even going on to win the Nobel Prize in 1965. Perhaps one of his most valuable contributions to the field of science was that of quantum electrodynamics, the idea of interaction between all light and matter, linking both quantum mechanics and special relativity together.

Following this he proposed something known as the path of integral formulation, a theory that took into account all potential trajectories of any given particle between any given two points.

Feynman's many ideas about the theory of everything and his work on quantum mechanics are being revitalized in new research. As we mentioned before, a team of researchers from Oxford and UCL is working to use his theories to develop a working TOE.

In two papers, the team focuses in on quantum gravity, recognizing that the ability to understand gravity within the bounds of quantum mechanics is one of the greatest challenges that modern physicists face.

The physicists state that if they are able to detect gravity on quantum particles, on the quantum level, then they would be better able to understand why gravity has such a strange interaction with the quantum realm. Feynman had the idea to test for quantum gravity around quantum superposition, or the idea that a particle exists in all potential states before you measure it, at which point it's only in one state.

Feynman believed that utilizing quantum entanglement, you could take a mass, put it in a gravitational field, and cause it to become entangled on a quantum level. Then by utilizing finely tuned sensors, the observer would be able to detect the field's interference. The interference of the gravitational field would cause the mass to take on a specific location. This would allow the researchers to detect and measure quantum gravity.

This experiment proposed by Feynman is what the teams of researchers are working to replicate and flesh out. Researchers from Oxford are worried that since Feynman's initial experiment had no way of directly measuring quantum entanglement, they wouldn't be able to definitively draw a connection to quantum gravity.

RELATED: 5 ALTERNATIVES TO THE BIG BANG THEORY

That said, the researchers have come up with a way to quantize two masses and entangle them, which would allow them to detect quantum gravity definitively. Each of the masses would in a state of superposition and be connected through quantum entanglement to a quantum gravity field.

The experiment is being developed and could lead to an even better path to a theory of everything. However, there's no guarantee that the experiment will work and quantum gravity could end up being much harder to detect than once thought.

All this said, intense research is still continuing across the world to discover a working theory of everything, which would lead to a completely new understanding of how the universe fits together.

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Restructuring cybersecurity with the power of quantum – TechRadar

Quantum computing holds the potential to one-day resolve some of the worlds most intricate and pressing conundrums. With the science and technology industry at the forefront of the global battle to defeat COVID-19, for example, it has played a part in discovering viable solutions, not just in the short term but for future pandemics. However, quantum computing is bound to force major changes to the cybersecurity landscape.

Rodney Joffe, SVP, senior technologist and Fellow, Neustar.

While quantum computing is still in its relative stages of infancy, its rapid evolution means it will soon overtake technologies weve previously relied on, including high performance cloud computing.

This is why numerous tech giants such as IBM, Google, Amazon and Microsoft have entered the race to achieve what has been coined quantum supremacy: the competition to build the first fully-functioning and practical quantum computer. Microsoft, for instance, just announced that its quantum computing platform, Azure Quantum, is now available in limited preview.

Advancements such as these, however, have resulted in experts debating how the power of quantum will affect the cybersecurity landscape. Research from the Neustar International Security Council (NISC) recently revealed that almost a quarter of security professionals are already experimenting with quantum computing strategies, worried that it will outpace the development of existing security technologies.

These concerns are, in fact, extremely valid and require urgent action. Looking ahead, laying the foundations for rebuilding our current overarching cybersecurity approach including our algorithms, strategies and systems should be a key priority.

Across our most critical industries, quantum computing has the promise to solve what would have previously been described as unsolvable or existential problems.

When it comes to medical development, it has the potential to simulate how drugs will react. This reduces the risk during the commonly used trial and error method, and saves computational chemists both time and money. Already, researchers at Penn State University have announced that they are exploring how machine learning and quantum physics can be used to discover possible treatments for COVID-19.

In addition, Accenture recently published a paper with biotechnology innovator Biogen, which found that as quantum computers become more available, drug discovery will accelerate significantly, allowing scientists to compare much larger molecules.

Drug discovery is not the only area quantum computing will improve. Much has been reported about the technologys potential to beat climate change in the future. The World Economic Forum recently outlined how, by simulating large complex molecules, it will potentially be able to create new ones for carbon capture.

Whats more, last year, Google and NASA sparked frenzy within the technology community when together they revealed quantum computers hold the capability to compute in three minutes what would usually take supercomputers 10,000 years. While this feat is still years away, it is this level of power that cybersecurity professionals need to begin planning for.

At present, the cybersecurity industry depends on encryption to safeguard devices and personal data. In theory, encryption is possible to crack. In practice, however, it is impossible and would take a colossal amount of time to do so, over timescales of trillions of years.

Cryptography can be categorized in two ways: symmetric and asymmetric cryptography. In symmetric schemes, the same key is used to encrypt and decrypt data. In asymmetric schemes also known as public key there is a publicly shared key for encryption and a private key for decryption. Built on complex mathematical calculations, these are crafted for a fundamental purpose: to be so complicated that they would take classical computers too long and use too much computational power to be solved.

However, encryptions time as a viable solution is limited. Neustars research revealed that nearly three quarters (75%) of cybersecurity professionals expect advances in quantum technology to beat current technologies, such as encryption, within the next five years. Its ability to break encryption techniques such as private key poses a major challenge to the cybersecurity industry. In the wrong hands, it could be used to launch a cyberattack on an unprecedented scale.

Given quantums ability to crack problems weve specifically created to be unsolvable at an unrivaled pace, there is a crucial need to create new public key schemes that are resistant to quantum technology. Even though a quantum computer capable of beating encryption is approximately ten years away, quantum-proof encryption needs to be implemented before then.

Planning for quantum requires a careful consideration of its progress. Luckily, most organisations have quantum computing on their radar. In fact, 74% of cybersecurity professionals have admitted to paying close attention to the technologys development.

Businesses are also required to take note of all encrypted data and make sure it is surrounded by 24/7 monitoring and threat intelligence tools, alongside robust processes. There needs to be a recognition that even though it is impossible for this data to be decrypted currently, advances in quantum computing will mean that it will be vulnerable in future.

The current global pandemic has taught us that we need science and technology more than ever to guide us through challenging times and produce the innovations that will see us benefit in the long run.

The sheer power and uncertainty of quantum should not be viewed negatively in fact, 87% of CISOs, CSOs, CTOs and security directors admitted that they are excited about the potential positive impact it will have. Quantum computing is part of the future, and the cybersecurity industry has to prepare early for its impact if they wish to reap the benefits.

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Birdsong offers clues to the workings of short-term memory – AroundtheO

When a canary sings, it maintains a memory trace of the notes produced in the previous five to 10 seconds, a process that allows the bird to produce songs with long-range rules or syntactic structure, according to a new study co-written by a neuroscientist at the University of Oregons Phil and Penny Knight Campus for Accelerating Scientific Impact.

In the project, a nine-member team used tiny, head-mounted microscopes to track the activity of the output neurons that reside in a canarys high vocal center, a brain area involved in song motor control. In prior studies, the activity of these neurons had been identified in simpler singers, revealing one of the most precise patterns of neural activity observed in any organism.

Newly applied to the more complex song of canaries, the neurons were seen activating in specific sequential contexts, with the rules of activation spanning up to 40 syllables over four seconds. The teams paper was published online June 17 by the journal Nature.

The research opens a window on theorized hidden states of the brain, a form of short-term memory that integrates past information with ongoing motor control, said Tim Gardner, an associate professor and the DeArmond Chair in Neuro-Engineering in the Knight Campus.

Studying short-term motor memory in canaries provides an opportunity to examine a high-level motor phenomenon in a controlled model system, one that is akin to how studies of the hydrogen atom helped crack the code of quantum mechanics at its inception, Gardner said.

You want to examine a new phenomenon using the simplest possible model that captures the essence of the problem, he said. We often think of songbirds in a similar way. Birdsong is a very quantifiable behavior. Sensory motor learning is 50 percent or more of what brains are all about. Its learning to integrate sensation and action to effectively control movements, in this case, vocalizations.

Songbirds are known to form detailed sensory memories for their tutor songs, and to use the memories to guide the development of their own song to match the tutor over many months. However, until the new study there was no evidence for short-term memory of song that could form a substrate for more complex song rules.

Gardner and Yarden Cohen, then a postdoctoral student and the studys lead author, began the fundamental research in Gardners Boston University lab before Gardner joined the Knight Campus in June 2019. Analyses of the data continued under Gardners tutelage after his arrival at the UO, where he also is affiliated with the Department of Physics.

These birds produce songs that contain hundreds of syllables organized in a way that indicates that they are using the short-term memory of preceding song syllables to guide the choice of the next elements in song, said Cohen, now a neurosurgery research fellow at Massachusetts General Hospital, which is affiliated with the Harvard Medical School.

They create a complex syntax with long-range rules resembling properties of human behaviors like speech, dance and playing a musical instrument, Cohen said. We discovered that their song circuitry reflects the working memory required for their complex syntax.

The research, Gardner said, delivers a new way to study the principles of short-term memory.

If you reflect on the nature of speech, the choice of what to say next is guided by working memory that integrates over many timescales, from the overall aim of the communication episode to the local rules required for proper grammatical form, Gardner said. Canary song is much simpler, but it follows long-range syntax rules such as sing syllable D only if five seconds ago I sang A rather than B.

This deep structure, he said, contains simple similarities to speech where the ending of a sentence is dependent on how the sentence began. In both systems, correlations between past and future parts of the vocalization require a form of short-term memory.

What is clear is that a lot of cellular rules that underlie learning and memory are highly conserved, Gardner said. For example, there are cells in the basal ganglia in songbirds that have incredibly similar patterns of activity to what has been seen in rodents. While brain architecture may differ, the fundamental computations expressed at a cellular level are the same.

Gardner will continue to use the tools used in the study for his work in his Knight Campus lab. Ideally, he said, it could lead to not just to improved understanding of complex behaviors but also to enhanced machine-learning methods.

A lot of what we see in the canary resembles computational models that have been used for speech recognition and general artificial intelligence algorithms, he said. Speech algorithms used in Siri and Google Assistant networks use these types of hidden states seen in the canaries.

Eventually, Cohen said, studying the neural basis of canary song production may make it possible to understand how working memory mechanisms adapt to new conditions or fail when brain circuits are damaged. Developing such a model, he added, may point to new therapies for speech and comprehension deficits that come with aging and in neurodegenerative diseases such as Parkinsons and Alzheimers.

Five grants from the National Institutes of Health supported the research team, which in addition to Gardner and Cohen included seven other members drawn from Boston Universitys biology department and medical school.

By Jim Barlow, University Communications

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The stories a muon could tell – Symmetry magazine

At the beginning of the 20th century, physicists were aware of a pervasive shower of particles that seemed to rain down from space. By filling glass chambers with highly condensed vapor, they could indirectly see tracks left by these highly energetic particles now known as cosmic rays. In doing so, they quickly discovered the subatomic world was more complex than initially suspected.

The first new matter particle they discovered was the muon. It was a lot like an electron, just more massive. At first, no one knew what to make of it.

Some thought it might be a particle theorized to hold protons and neutrons together in an atom. But a pair of Italians conducting experiments in Rome during World War II proved otherwise.

After discarding a few alternative theoriesincluding one that posited that this particle might be a new kind of electronphysicists were left with one conclusion: They had discovered a particle that nobody had predicted. As Nobel Laureate I.I. Rabi famously quipped, Who ordered that?

Although scientists hadnt realized muons would be on the menu, the discovery of muons eventually led to a discovery about how that menu was set up: Particles can come in different versions, each alike in charge, spin and interactions but different in mass. The muon, for example, has the same charge, spin and electroweak interactions as the electron, but is about 200 times heavier, and theres an even heavier version of the electron and muon, called the tau.

Physicists built on this principle to predict the existence of generations of other particles, such as neutrinos, which with electrons, muons and taus round out the set of particles called leptons. Eventually, scientists would find that all of the matter particles in the Standard Model, including quarks, could be organized into three generations, though only the lightest are stable.

Muons continue to be useful tools for discovery to this day. Two international experiments, one currently underway and the other slated to begin in the early 2020s, are using the previously perplexing particles to push the boundaries of physics.

Each of the three generations is called a different flavor of particle.

At first, scientists assumed that flavor was a property that, like mass or energy, had to be conserved when particles interacted with each other. That wasnt quite right, but in their defense, they did find this to be true almost all of the time.

When you have some kind of an interaction that involves charged leptons, such as nuclear or particle decay or some type of high-energy particle interaction, the number of a given flavor of charged leptons remains the same, says Jim Miller, a professor of physics at Boston University.

When muons decay, for example, they transform into an electron, an anti-electron neutrino, and a muon neutrino. The electron and anti-electron neutrino cancel each other out, flavor-wise, leaving just the muon neutrino, which has the same flavor as the original muon.

Flavor conservation was useful; it allowed physicists to predict the interactions they would observe in particle accelerators and nuclear reactions. And those predictions proved to be correct.

But then physicists discovered that the group of (uncharged lepton) particles called neutrinos are unaware they are expected to follow the rules. On their long journey to Earth from the center of the sun, where they are created in fusion reactions, neutrinos freely oscillate between generations, transforming from electron neutrinos to muon neutrinos to tau neutrinos and back without releasing any additional particles.

This phenomenon, which won researchers Takaaki Kajita and Arthur B. McDonald the Nobel Prize for Physics in 2015, left scientists with a question: If neutrinos could violate flavor conservation, could other particles do it, too?

Physicists hope to answer that exact question with Mu2e, an experiment scheduled to start generating data in the next few years at the US Department of Energys Fermi National Accelerator Laboratory. The experiment is supported by funding from DOEs Office of Science.

Mu2e will search for muons converting into electrons without releasing other particles, a process that would clearly violate flavor conservation.

But why use muons? Its because theyre the just-right middle of the lepton family. Not too big or too small, muons are a sort of Goldilocks particle that are perfectly suited to aid physicists in their search for new physics.

Electrons, the least massive charged leptons, are small and stable. Taus, the most massive ones, are so massive and short-lived that they decay far too quickly for physicists to effectively study. Muons, however, are massive enough to decay but not massive enough to decay too quickly, making them the perfect tool in the search for new physics.

In the Mu2e experiment, physicists will accelerate a beam of low-energy muons toward a target made of aluminum. In the resulting collisions, muons will knock electrons out of their orbits around the aluminum nuclei and take their place, creating muonic atoms for a brief moment in time.

Since the mass of the muon is 200 times greater than the mass of the electron, and its average distance from the nucleus is 200 times smaller, theres an overlap between the muons position and the position of the aluminum nucleus, allowing them to interact, Miller says.

As the muon decays into an electron, physicists predict that the extra energy that usually goes into creating two neutrinos in a typical muon decay will instead be transferred to the atoms nucleus. This would allow the conversion from one flavor to another, muon to electron, without any neutrinos or antineutrinos to provide balance. If observed, this direct transition of a muon into an electron would be the hoped-for discovery of flavor violation among charged leptons.

Mu2e is not the only experiment that will use muons to test our understanding of physics.

Eight years before the discovery of muons, physicist Paul Dirac was developing a theory to describe the motion of electrons. In a single, elegant equation, Dirac successfully described that motionwhile simultaneously merging Albert Einsteins special theory of relativity with quantum mechanics and predicting the existence of antimatter.

Its hard to overstate how important and incredibly accurate Diracs equation turned out to be. Physicists still act giddy whenever its mentioned.

To understand why its important, take a look at the electron.

Diracs equation correctly described exactly how the electromagnetic force worked and gave the correct estimate for how an electrons spin would shiftor precessif placed in a magnetic field, a measurement known as g. (That prediction was later refined through calculations from the field of quantum electrodynamics.)

When muons were discovered in 1936, Diracs equation was used to calculate what their precession rate would be as well. The value g for muons was predicted to be equal to 2.

But when physicists began generating muons in accelerators at CERN in the 1950s to test his predictions, the results were not quite what they expected. Had they found a discrepancy between observation and theory? Although physicists worked hard for the next 20 years, they couldnt generate enough energy with their accelerators to obtain a conclusive answer.

Scientists at Brookhaven National Laboratory were able to test Diracs prediction at higher energies between 1999 and 2001 with an experiment meant to directly determine the anomalous part of the magnetic moment called Muon g-2 (pronounced Muon g minus 2). They found hints of the same anomalous measurement, but even with their improved technology, they lacked sufficient precision to prove a disagreement with theory.

Could Diracs equation turn out to be wrong? Physicists think it could be that their findings in muons are actually hinting at a deeper structure in physics that has yet to be discovered and that studying muons could once again lead to new revelations.

The g-2 factor has been measured for other particles, says Fermilab physicist Tammy Walton. Its been very precisely measured for the electron. Its also been measured for composite particles, like the proton and neutron. But the large mass of muons make them more sensitive to new physics.

Fermilab recently began the next generation Muon g-2 experiment, which physicists hope along with J-PARC in Japan will unequivocally confirm whether or not theory agrees with nature. Funded by the DOE's Office of Science, the experiment at Fermilab has been taking data since 2017.

We hope to get 20 times the number of muons, giving us a fourfold reduction in statistical uncertainty, says Erik Swanson, a research engineer at the University of Washington. If our central value stays the same as that generated at Brookhaven, then we will have confirmed without a doubt the discrepancy between theory and observation. Otherwise it might just be that theory was right all along.

If the theory is broken, physicists will have a lot of explaining to do, which could lead them to a new understanding of the particles and forces that make up our universe and the forces that govern them. Not bad work for a particle nobody ordered.

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In the atmosphere of Mars, a green glow offers scientists hints for future visits – NBCNews.com

Earth is not the only planet with an atmosphere that glows green: Astronomers have observed the same ethereal phenomenon on Mars, according to a study published Monday in the journal Nature Astronomy.

The emerald sheen high in the Martian atmosphere was observed by the European Space Agencys Trace Gas Orbiter, which has been circling the Red Planet since 2016. The glow, which astronomers say is triggered by interactions between the suns light and oxygen molecules in Mars atmosphere, could help researchers better understand the composition of the planets atmosphere and how it behaves.

Its also the first time that the distinct green lights have been seen on a planet beyond Earth, according to Jean-Claude Grard, an astronomer at the Universit de Lige in Belgium and lead author of the study. The lights are similar to auroras on Earth, but unlike auroras, Mars' green glow appears as a thin band around the planet.

This emission has been predicted to exist at Mars for around 40 years and, thanks to TGO [the Trace Gas Orbiter], weve found it, Grard said in a statement.

Auroras on Earth the colorful light displays that can be seen at high latitudes occur when charged particles from the sun collide with Earths magnetic field and mix with molecules in the atmosphere. Auroras fluctuate with the suns activity, but Earths green glow is different because the light is continuous albeit faint.

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On Mars, this so-called night glow can be tricky to spot, but Grard and his colleagues were able to observe the lights by pointing one of the instruments aboard the Trace Gas Orbiter directly at the surface of Mars from an edge-on perspective.

From April 24 to Dec. 1, 2019, the astronomers scanned altitudes from about 12 miles to 250 miles above the Martian surface twice each time the spacecraft circled the planet. The researchers were able to detect the green glow at all altitudes, with the strongest emission found at around 50 miles above the surface.

The scientists used these observations to examine what causes the green glow and found that the light comes from oxygen atoms that were stripped from carbon dioxide.

On Earth, the green glow is driven by oxygen atoms in the upper atmosphere interacting with electrons from interplanetary space. These stunning displays are sometimes known as polar auroras.

Like on Mars, the emerald lights in Earths atmosphere can be faint unless seen edge-on, which is why many of the most dramatic views of the phenomenon have come from photos taken by astronauts aboard the International Space Station.

Though on both planets the green hue is characteristic of oxygen in the atmosphere, the astronomers noted some differences in the resulting emissions of light.

The observations at Mars agree with previous theoretical models but not with the actual glowing weve spotted around Earth, where the visible emission is far weaker, Grard said. This suggests we have more to learn about how oxygen atoms behave, which is hugely important for our understanding of atomic and quantum physics.

The findings also have important implications for planetary science missions to Mars. Understanding the composition of the Red Planets atmosphere is crucial for operating orbiters around Mars or landing rovers on the surface, because these spacecraft are all affected by the density of the Martian atmosphere.

Predicting changes in atmospheric density is especially important for forthcoming missions, including the ExoMars 2022 mission that will send a rover and surface science platform to explore the surface of the Red Planet, Hkan Svedhem, a Trace Gas Orbiter project scientist at the European Space Agency who was not involved with the new study, said in a statement.

Denise Chow is a reporter for NBC News Science focused on the environment and space.

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Lockheed’s ventures arm backs quantum computing and training tech firms – Washington Technology

EMERGING TECH

Lockheed Martin Ventures -- the defense companys technology startup investment arm -- has backed two companies through separate avenues announced this week.

In a release Tuesday, quantum computing company IonQ said it grew its total fundraising amount to $84 million through a new Series B round that represents its second significant round of investments since the 2015 founding with $2 million in seed money.

The latest round included Robert Bosch Venture Capital GmbH and Cambium, another investment firm that focuses on companies pushing future computational paradigm changes.

For Lockheed Martin Ventures, this investment gains the company an early look at a technology of increasing interest to government agencies. Two years ago, the parent corporation doubled the size of the venture fund to $200 million and sharpened the focus on five core technology areas.

College Park, Maryland-based IonQ uses what it calls a trapped-ion method for its quantum computing platforms.

IonQ raised another $20 million in 2016 from Amazon Web Services, Googles venture arm and New Enterprise Associates to build two new quantum computers. Then in 2019 came an additional $55 million in a fundraising round that saw Samsung and Mubadala Capital enter the fray along with additional backing from AWS, GV and NEA.

Separately on Wednesday, training technology firm Red 6 announced it too has received an investment from Lockheed Martin Ventures.

Terms of the funding were undisclosed but Santa Monica, California-based Red 6 will use those funds to support the further development and commercialization of its Airborne Tactical Augmented Reality System offering used to help train airplane pilots.

ATARS more specifically is designed to support synthetic training environments that seek to evaluate human performance in a multi-echelon, mixed-reality environment.

Red 6 was founded in November 2017 and conducted a feasibility demonstration with the Air Force in February 2019, the same month that a $2.5 million seed funding round closed.

The company connected with the Air Force through AFWERX, a program designed to connect startups with the service branch. Red 6 is the first AFWERX-backed company to be awarded a Small Business Innovation Research Phase III contract.

Some of Red 6s previous investors include Moonshots Capital, Starburst Accelerator and Irongate Capital Partners.

About the Author

Ross Wilkers is a senior staff writer for Washington Technology. He can be reached at rwilkers@washingtontechnology.com. Follow him on Twitter: @rosswilkers. Also find and connect with him on LinkedIn.

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Brighton scientists in the race to build quantum computer – The Argus

TWO scientists have received millions of pounds to build a piece of groundbreaking technology.

Dr Sebastian Weidt and Professor Winfried Hensinger, who both carry out research and teach at the University of Sussex, have secured 3.6 million investment for their plans for the worlds first large-scale quantum computer.

It puts them up against the likes of Google and IBM in a race to create what Sebastian described as the technology of the century.

He said: A quantum computer is a completely new computer. Its not the sort you have at your desk.

Its a machine which can solve certain problems that the most powerful conventional computer would take millions of years to solve.

Professor Winfried Hensinger and Dr Sebastian Weidt, founders of Universal Quantum

Unlike their competitors, who have designed quantum computers which use billions of laser beams for calculations at extremely cold temperatures marginally above minus 273C, Sebastian and Winfried have developed technology based on trapped ions, or charged atoms.

These atoms carry out calculations within the computer using microwave technology, such as that used in mobile phones, and do not need the same extreme cooling requirements.

It means their computer is more practical and can operate millions of qubits, or units of data, at the same time and solve complex problems.

Sebastian said their computer could be used to develop new drugs as it can work out chemical reactions very quickly and could also help in the development of Artificial Intelligence and machine learning technologies.

He said: Its an enabling technology which a lot of sectors will use to help them work out their own problems, just like we do now with conventional computers.

In ten or 20 years we will look back and think, this is the technology of the century.

Sebastian and Winfried, who founded their start-up company Universal Quantum in 2018, have been researching quantum mechanics for more than 20 years.

The pair have received funding from a number of investors including Hoxton Ventures, which was an early backer of Deliveroo, and Village Global, which is backed by the likes of Bill Gates, Mark Zuckerberg and Jeff Bezos.

Sebastian said: Its very humbling and incredibly exciting as we have these leading investors who believe in our technology and our team.

Universal Quantum is really about taking the solutions we have developed through research at Sussex and putting them into practice.

Sebastian and Winfried are looking for a suitable facility in Brighton and Hove to begin the challenge of building the quantum computer and they will need to hire hundreds of engineers to help them.

Silicon microchips were used in Sebastian and Winfried's prototype for a large-scale quantum computer

Sebastian said: Its a long-term mission but we really wanted to do this in Brighton. We want the city to be a quantum technology hub.

We love Brighton and we actively chose not to go to the US or other places a lot of start-up companies like to go.

Winfried said: Quantum computing has the power to change the world for the better.

Were assembling the brightest minds to do just that, paving the way for a British start-up to lead the journey to a truly useful and usable one million qubit quantum computer.

Our large-scale quantum computers will one day allow us to tackle the grand global issues of our time, from creating new pharmaceuticals, revolutionising financial modelling, tackling optimisation problems, machine learning even helping to feed the worlds population by making fertiliser more efficiently.

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Toronto-based Association Quantum appoints Northern Hive PR – Business Up North

Manchesters Northern Hive has been appointed by Toronto-based Association Quantum to handle a communications and marketing brief that will drive awareness in the UK and North America. The win is one of a number to come in recent weeks for the Spinningfields-based PR and marketing agency that was founded in 2019.

It also comes at a time when governments and technology giants around the world continue to invest heavily in quantum computing.

Association Quantum is an industry association dedicated to supporting the quantum technology sector; next-generation quantum-based technologies that are in the process of commercialisation. This includes devices that actively create, manipulate and read out the quantum states of matter, often leveraging quantum effects such as superposition and entanglement. Applications for quantum tech include highly accurate next-generation sensors, super-secure communication and quantum computers that would allow for calculations that currently take computers millions or billions of years to solve in a matter of minutes or hours.

Northern Hive, which already enjoys strong links with Canada and the technology sector, has doubled down on creating partnerships with cutting edge companies including in the cybersecurity and quantum computing space.

The campaign brief involves supporting the in-house marketing team and driving a thought-leadership program in collaboration with Association Quantums fourteen academics. The agency will also manage an earned media campaign promoting cutting-edge quantum research and thought-leadership as well as running the press office.

Were already using technologies daily that have benefited from our deep understanding of quantum physics, including; modern camera sensors & screens, GPS, MRI scanners, LEDs & lasers, as well as all the semiconductors powering modern electronics including computer chips. These devices rely on the effects of quantum mechanics. Were excited to have partnered with Northern Hive and look forward to working with the agency to communicate our support of the quantum technology sector says Jeff Lawy, a spokesperson for Association Quantum.

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Toronto-based Association Quantum appoints Northern Hive PR - Business Up North

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NTT Research Builds Upon its Micro Technologies and Cryptography Expertise with Distinguished New Hires – Business Wire

PALO ALTO, Calif.--(BUSINESS WIRE)--NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has named Dr. Tetsuhiko Teshima as a Research Scientist in its Medical and Health Informatics (MEI) Lab. Dr. Teshima has also joined the Technical University of Munich (TUM) Neuroelectronics Group as a Visiting Researcher. NTT Research and TUM last fall entered into a joint research agreement to explore implantable electronic systems to affect the future of patient care. An expert in micro technologies, Dr. Teshima will be working full-time at TUM in the area of advanced neuroelectronics and biosensor technology. Dr. Teshima began his three-year appointment on March 1, 2020.

Dr. Teshimas research has covered a broad range of topics that overlap with the MEI Labs mission, including micro bio-nano interfaces, parasitology, soft matter, hierarchical self-assembly, thin-film manufacturing techniques, soft lithography, microfluidics, revolutionary tools for single-cell measurements, mechano-biology and three-dimensional synthetic tissue and organs. He comes to NTT Research after holding positions at NTTs Bio-medical Informatics Research Center, the National Institute of Science and Technology Policy (NISTEP) and NTTs Basic Research Laboratories. He holds a M.S. (biology) and Ph.D. (information science and technology) from the University of Tokyo, where he also held a Japan Society for the Promotion of Science (JSPS) post-doctoral fellowship for three years at the Institute of Industrial Science.

Dr. Teshima is a top young scientist in Japan who has made a mark in various areas of micro technologies, said MEI Lab Director Hitonobu Tomoike. I expect a good chemical reaction between him and the brilliant scientists in Munich.

NTT Research also announced that it has named Vipul Goyal as Senior Scientist in its Cryptography and Information Security (CIS) Lab. Dr. Goyal is an associate professor of computer science, Carnegie Mellon University, which he joined in 2016. Previously, he spent seven years as a researcher in the Cryptography and Complexity Group at Microsoft Research, India. He is a winner of several honors, including a 2016 Association for Computing Machinery (ACM) Conference on Computer and Communications Security (CCS) test-of-time Award, a JP Morgan faculty fellowship, and a Google outstanding graduate student award. He received his Ph.D. at the University of California, Los Angeles.

Named to Forbes Magazines 30 Under 30 list of people changing science and healthcare in 2013, Dr. Goyal has published more than 80 technical papers. Broadly interested in all areas of cryptography, he has a particular focus on the foundations of the field. His current research topics include secure multi-party computation, non-malleable cryptography and foundations of blockchains.

Also joining the CIS Lab is Justin Holmgren as Scientist. Prior to his current role at NTT Research, Dr. Holmgren was a Google Research Fellow at the Simons Institute for the Theory of Computing. Dr. Holmgren was previously a post-doctoral research fellow at Princeton University and received his Ph.D. in 2018 at the Massachusetts Institute of Technology (MIT), where he was advised by Professor Shafi Goldwasser. His work, which includes 15 published papers, has notably advanced the feasibility of securely outsourcing computation, private information retrieval and software watermarking. At NTT Research, he will be studying the foundational theory of cryptography, along with its interplay with diverse areas of computer science.

We are delighted to welcome Drs. Goyal and Holmgren on our journey to a more secure future for everyone, said CIS Lab Director Tatsuaki Okamoto. Only by engaging the strongest and most dedicated researchers can we address the foundational research problems in cryptography, and so deliver long-term impact to the field.

In related personnel news, NTT Research last month announced the appointment of Joe Alexander (M.D., Ph.D.) as Distinguished Scientist in the MEI Lab and Hoeteck Wee as a Senior Scientist in the CIS Lab. Dr. Alexander is leading the MEI Labs bio digital twin initiative. In February, NTT Research announced that the CIS Lab had reached joint research agreements with UCLA and Georgetown University, covering theoretical aspects of cryptography and global scale blockchain testbed research, respectively. NTT Researchs Physics and Informatics (PHI) Lab last year reached joint research agreements with six universities, one government agency and one quantum computing software company.

About NTT Research

NTT Research opened its Palo Alto offices in July 2019 as a new Silicon Valley startup to conduct basic research and advance technologies that promote positive change for humankind. Currently, three labs are housed at NTT Research: the Physics and Informatics (PHI) Lab, the Cryptography and Information Security (CIS) Lab, and the Medical and Health Informatics (MEI) Lab. The organization aims to upgrade reality in three areas: 1) quantum information, neuro-science and photonics; 2) cryptographic and information security; and 3) medical and health informatics. NTT Research is part of NTT, a global technology and business solutions provider with an annual R&D budget of $3.6 billion.

NTT and the NTT logo are registered trademarks or trademarks of NIPPON TELEGRAPH AND TELEPHONE CORPORATION and/or its affiliates. All other referenced product names are trademarks of their respective owners. 2020 NIPPON TELEGRAPH AND TELEPHONE CORPORATION

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Coming out of lockdown is harder than going in – Science Business

The president of Switzerlands top-ranked university says his institution is tentatively getting back to speed after the coronavirus lockdown - but that this is harder than anticipated.

Going into lockdown was hard, coming back out even more so, weve discovered, said Jol Mesot, president of ETH Zurich. We have to move back slowly and make sure that all our people are on board with the process.

In the month or so since Switzerland and other European countries began to ease their lockdown measures, the university has resumed full research operations, and more than half of all staff have returned on a rotating timetable.

In a recent virtual meeting with ETH employees, Mesot told them from now on, he will continue to do some work from home. I will stay at home one day per week in the future. I wanted to give a sign to everyone, from the top, he told Science|Business.

While Switzerlands lockdown to block the spread of COVID-19 was less strict than in other countries, one third of the workforce, 1.5 million people, are furloughed. We have never seen anything like this. Some of these will likely face real joblessness, Mesot said.

Mesot expects the economic downturn in Europe to last for some time, but thinks Switzerland will recover a bit sooner than many of its neighbours. It doesnt help if you have recovered and the rest of the world is still recovering though, he said.

Inevitably, the economic pain will leave its mark on ETH Zurich.

In the long turn, there will be pressure on financing. If the [national] debt increases above a certain level, expenditure has to automatically fall. So we will be hit for this in the future, Mesot said. The university system receives almost 70 per cent of its budget from the central Swiss government.

Mesot is also concerned about whether the universitys many private sector collaborations will survive the crisis. One of the priorities we have is to keep our work with industry. We have some special tools they use, and this will remain open to them. Theyre my biggest concern in the downturn, he said.

The pandemic has led Brussels to delay the delicate negotiation with Switzerland over its place in the Horizon Europe R&D programme, which is due to start in January.

That means theres now little time to resolve any problems and avoid a repeat of 2014, when Brussels cut off full Swiss membership to Horizon 2020, the current EU research programme. The threat of being blocked from the full 94.4 billion Horizon Europe programme is a source of major disquiet for Swiss academics.

Mesot says the experience of the pandemic may give fresh momentum to talks, which have been bogged down by a row over immigration and a new EU-Swiss treaty.

The interaction during the crisis was very strong. Swiss hospitals have taken patients from France and Italy. Maybe we will both understand each other better now, and come to a good solution, said Mesot.

Its essential to be a part of this programme, which is very important for us. Switzerland is such a strong partner too. Close ties in research are in the interest of both sides. We have some of the strongest research, like our quantum computing groups, for example, he said.

For ETH, the annual cost of being cut out of Horizon Europe would be in the order of CHF64 million (60 million), the amount the university drew from the Horizon 2020 programme in 2018. This represents about 3.5 per cent of its CHF1.8 billion annual budget.

COVID breakthroughs

While most ETH research was on hold during the crisis, work around fighting the virus continued, and has already led to some breakthroughs.

Everything around the virus was allowed. Everything related to industry collaboration was also allowed, once hygiene and social distancing rules were respected, Mesot said.

The use of our supercomputers was 100 per cent; Im expecting a record number of publications for 2020.

ETH Zurich researchers and their counterparts at the Swiss Federal Institute of Technology in Lausanne devised a COVID-19 tracing app, dubbed SwissCovid, built on the back of a model jointly put forward by Apple and Google.

The protocol operates via Bluetooth, continuously broadcasting random strings of characters between phones. If a user tests positive for COVID-19, they can then share keys stored on their phone that were picked up on the days they were contagious.

ETHs Kristina Shea, professor of engineering design and computing, developed a low-cost respirator and made its design available via open source. Ukraine has shown interest in producing it, said Mesot.

Away from COVID-19 efforts, the university is carrying out a reflection phase, which started before the crisis. We want to define what kind of university we want to be in 20 years, Mesot said.

However, the crisis is unlikely to result in a big shift in ETH thinking as far as research goes. The research priorities remain the same: energy, climate change, digitisation, machine learning and smart production technologies, said Mesot.

As a further consequence of the pandemic, the president anticipates a fall in demand from outside Switzerland for university places, at least for the next year.

University staff are still figuring out how to satisfy the Swiss requirement to ensure social distancing of at least two metres. For new students, it would be a disaster if they had to stay in their apartments, and couldnt move freely on campus and network. We still have to figure out ways to combine safety and onsite classes, he said.

But there have been unexpected advantages in having classes online. Because its a bit more anonymous, students are asking more questions, including the shy ones who might not have [done so] in lecture halls, said Mesot.

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