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University of Maryland and IonQ Celebrate Opening of QLab: A Hub … – StreetInsider.com

QLab offers researchers, students, professionals direct access to cutting-edge quantum computers

COLLEGE PARK, Md., Sept. 19, 2023 /PRNewswire/ --The University of Maryland (UMD) today announced the grand opening of the National Quantum Laboratory (QLab), a groundbreaking quantum research center developed in partnership with IonQ (NYSE: IONQ), a leader in the quantum computing industry. The QLab enables people from across the nation and around the world to develop and design quantum technologies on one of the world's most powerful quantum computers while working alongside leading experts in the field, in an effort to address the most complex challenges of our time.

Located inside UMD's Discovery District, this unique, cutting-edge workspace aims to build the next generation of quantum talent and innovations and further establish the region as the Capital of Quantum. Thanks to the nearly $20 million investment that fueled this facility's opening, researchers, students, industry leaders, entrepreneurs and others are already taking advantage of this collaboration to explore how quantum computers can help improve machine learning and AI, materials discovery, supply chain logistics, climate modeling, cybersecurity and more.

As a node in the Mid-Atlantic Regional Quantum Internet (MARQI), the QLab is also accelerating the development of quantum networking capabilities critical for realizing the full potential of quantum computers, sensors and communications systems. QLab actively supports the growth of a skilled quantum workforce and has hosted more than 300 participants in virtual and in-person workshops and bootcamps.

"We cannot fully imagine where quantum computing will take us in the future, but we do know the collaborations made possible through QLab will be essential to moving the field forward and reaching the life-altering discoveries we seek," said University of Maryland President Darryll J. Pines. "QLab spikes our competitiveness factor for the state and our region as we attract innovators from all over the world to work with us and share resources."

UMD is one of the world's leading institutions of quantum science and engineering, working in close partnership with the National Institute of Standards and Technology as well as other federal agencies and labs. The university boasts more than 200 quantum researchers, eight quantum-focused centers and a comprehensive suite of quantum education offerings.

This first-of-its-kind QLab builds upon the university's $300 million investment in quantum science and more than 30-year track record of driving advances in quantum physics and technology. It additionally marks the latest extension of the university's partnership with IonQ, a company partially founded on research conducted at UMD.

"At IonQ, we firmly believe that the future of quantum relies on a strong partnership between industry and academia. QLab is a testament of our commitment to nurturing this collaboration, paving the way for students to be at the forefront of quantum research and development," said Peter Chapman, CEO and president, IonQ. "Through our own journey from a research-oriented approach to our current focus on engineering and manufacturing, we aim to achieve an advanced quantum system in the near future that will deliver significant advantages over classical computing for certain use cases."

The QLab builds on and reinforces the strong, impact-focused regional collaborations enabled by the Mid-Atlantic Quantum Alliance (MQA) and its 38 members from academia, industry, and government.

IonQ will also be sharing new developments in quantum computing at the Quantum World Congress, which takes place September 27-28. To watch the livestream event, please RSVP here.

About the University of Maryland

The University of Maryland (UMD) is the state's flagship university and a leading public research institution, propelled by a $1.3 billion joint research enterprise. Located four miles from Washington, D.C., the university is dedicated to addressing the grand challenges of our time and is the nation's first Do Good campus. It is driven by a diverse and proudly inclusive community of more than 50,000 fearless Terrapins. UMD is a top producer of Fulbright scholars and offers an unparalleled student experience with more than 300 academic programs, 25 living-learning programs and 400 study abroad programs. Spurred by a culture of innovation and creativity, UMD faculty are global leaders in their field and include Nobel laureates, Pulitzer Prize winners and members of the national academies. For more information about the University of Maryland, visit umd.edu.

IonQ Forward-Looking Statements

This press release contains certain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Some of the forward-looking statements can be identified by the use of forward- looking words, including the words "believe," "will," "aims," "seek," and other similar expressions. These statements include those related to the impact of the partnership between UMD and IonQ and of QLab; the future benefits of quantum computing and discoveries in quantum technologies; and the potential for a quantum system to deliver significant advantages over classical computing in the near future. Forward-looking statements are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this press release, including but not limited to: the risks and uncertainties described in the "Risk Factors" section of IonQ's Quarterly Report on Form 10-Q for the quarter ended June 30, 2023, and other documents filed by IonQ from time to time with the Securities and Exchange Commission. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and IonQ assumes no obligation and does not intend to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise. IonQ does not give any assurance that it will achieve its expectations.

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These 3 Promising Altcoins Could Yield Millionaires in 2023: Monero (XMR), Filecoin (FIL) and Borroe.Finance – Bitcoinist

Cryptocurrency enthusiasts and investors are perpetually on the lookout for the next big thing, the best altcoin investment, and the top crypto coin that could potentially yield substantial returns. As we step into 2023, three promising altcoins have captured the imagination of the crypto community, each with its unique value proposition. Monero (XMR), Filecoin (FIL), and Borroe.Finance ($ROE) are making waves in the crypto space, and heres why theyre considered some of the best crypto investments for the year ahead.

>>BUY $ROE TOKENS NOW<<

Borroe.Finance ($ROE) is a groundbreaking project poised to revolutionize the Web3 space. This remarkable endeavor is built on Polygon, a layer-2 blockchain renowned for integrating the finest privacy features. So, what makes Borroe.Finance the best crypto investment of 2023?

Borroe.Finance serves as a marketplace where the Web3 community can seamlessly convert their future recurring income into Non-Fungible Tokens (NFTs). These NFTs are presented to buyers at a discounted rate in exchange for upfront cash, with full repayment scheduled on a predetermined date.

The platform integrates AI-powered risk assessment, secure blockchain technology, and streamlined payment solutions, creating a safe and efficient fundraising process. This innovative approach encourages buyers to effortlessly sell and trade future recurring revenue NFTs directly with each other on secondary markets, fostering a truly peer-to-peer ecosystem.

>>BUY $ROE TOKENS NOW<<

To further incentivize community involvement, sellers can offer substantial discounts and other enticing incentives to encourage funding of their requests. $ROE introduces a unique fee structure, featuring a 3% buy tax allocated into 1% Burn, 1% Rewards, and 1% Marketing.

Additionally, a 3% sell tax is designed to motivate long-term holding, reinforcing $ROEs potential as a top coin to buy.

Borroe.Finance is propelled by a team of visionary leaders. Michael Price, a former VP at XE.com, and Maxim Prishchepo, a prominent figure in the blockchain space with substantial experience in tier 1 projects, spearhead this dynamic team.

This key differentiator sets Borroe.Finance apart from projects that choose anonymity, instilling trust in the projects viability. Moreover, Borroe.Finances codes have undergone rigorous auditing by BlockAudit, one of the industrys leading smart contract auditing platforms, ensuring safety for all users.

As of now, Borroe.Finance is in the initial phase of its presale, generating substantial excitement within the crypto community. Priced attractively at $0.0125 per token, $ROE has garnered significant attention from investors keen on accumulating it at the most favorable rates.

With over 70 million $ROE tokens already sold, the presales funding will be dedicated to expanding Borroe.Finances ecosystem and enhancing utility for $ROE holders. To foster inclusivity, Borroe.Finance has significantly lowered the barrier to entry for the presale, ensuring that virtually anyone can participate.

Additionally, multiple payment methods have been incorporated to accommodate well-established crypto communities, including BTC, ETH, and BNB enthusiasts. The opportunity to become part of this promising venture is knocking; dont let it slip away.

Monero (XMR) is one of the most prominent cryptocurrencies in the market, and its appeal lies in its unwavering commitment to privacy and security. Monero continues to be a top choice for investors, and heres why they remain bullish on this privacy-focused coin.

Moneros primary strength lies in its unyielding dedication to privacy. Unlike most cryptocurrencies, where transactions are visible on a public ledger, Monero transactions are confidential and untraceable. This is achieved through advanced cryptographic techniques like Ring Signatures, Stealth Addresses, and Ring Confidential Transactions (RingCT).

Filecoin (FIL) is at the forefront of an innovative space where blockchain technology meets data storage. In 2023, investors continue to show enthusiasm for Filecoin due to its unique features and the potential it holds.

Filecoins primary function is to serve as a decentralized marketplace for data storage and retrieval. It empowers users to rent their excess storage space and earn FIL tokens in return, creating a distributed and efficient data storage network.

As we navigate through 2023, these three altcoins Monero (XMR), Filecoin (FIL), and Borroe.Finance ($ROE) beckon with potential, underlining the ever-evolving nature of the crypto market. While each possesses unique attributes, all share the common promise of delivering substantial returns to investors.

Learn more about Borroe.Finance ($ROE) here:

Visit Borroe Presale | Join The Telegram Group | Follow Borroe on Twitter

Disclaimer:This is a paid release. The statements, views and opinions expressed in this column are solely those of the content provider and do not necessarily represent those of Bitcoinist. Bitcoinist does not guarantee the accuracy or timeliness of information available in such content. Do your research and invest at your own risk.

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These 3 Promising Altcoins Could Yield Millionaires in 2023: Monero (XMR), Filecoin (FIL) and Borroe.Finance - Bitcoinist

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Synergy of semiempirical models and machine learning in … – American Institute of Physics

A detailed review of SEQM methods is available in the literature.4244, Figure 1(a) shows an illustration of how SEQM fits into the broader landscape of computational chemistry methodologies. It is important to note that this depiction is a simplified representation assuming the application of these methods to a hypothetical set of small molecules, such as drug-like compounds, as demonstrated in previous studies.27,45 At the lower level of accuracy, classical force fields (FFs) are employed. FFs typically utilize simple, physically motivated terms46 to account for phenomena such as bond stretching and angle bending in harmonic approximation, non-covalent interactions, and Coulomb electrostatic terms. Their computationally efficient nature enables large-scale applications, such as protein folding simulations.47 More advanced FFs incorporate additional effects, including polarization and even bond breaking/formation, as exemplified by ReaxFF.48 Machine learning interatomic potentials (MLIAPs) trained on high-quality datasets can potentially achieve greater accuracy in specific applications, such as torsional data benchmarks.27,45 Relative to traditional FFs, a typical MLIAP may contain two or three orders of magnitude more model parameters, and its numerical costs grow commensurately. MLIAP simulations of up to 107 atoms have been achieved.49,50 Both FFs and MLIAPs avoid self-consistent solutions of a quantum Hamiltonian and instead make strong assumptions regarding the spatial locality of chemical interactions, which leads to a linear scaling of computational costs with system size. We point curious readers to the comprehensive literature on MLIAPs.4,8,12,24,5153 Note, though, that the accuracy and transferability of MLIAP could not be rigorously compared with electronic structure methods, as MLIAPs are trained for specific elemental compositions and/or crystal structures, and their high accuracy is confined to the training domain. The opposite side of the scale is dominated by a family of coupled cluster (CC) approaches,54 which remain the gold standard for accurate electronic structure calculations while retaining polynomial scaling. Most other methods naturally fall in between. Spanning the space of transferability, accuracy, and cost, SEQM methods occupy the middle-ground between force fields (FFs) and Density Functional Theory Methods (DFT),55 a workhorse of computational chemistry. Much more affordable than DFT, SEQM methods are usually applied to large systems (102103 atoms), which should not, for physical reasons, be treated classically. In the recent decade, use of SEQM was substantially limited given the development of accurate and affordable DFT functionals and their highly parallelized implementations. However, we expect this balance to change with the arrival of ML-parametrized SEQM (ML-SEQM) which can offer accuracy on par with or exceeding that of DFT at much less computational cost [Fig. 1(a)]. Recent advances in ML-SEQM will be the main focus of this discussion.

The original models introduced characteristic approximations to reduce the number of electronic interactions to calculate; for example, 3- and 4- center Coulomb integrals are totally neglected in the popular Modified Neglect of Differential Overlap (MNDO) approach.41,56,57 Further on, 1-center and 2-center integrals are simplified through monopole interactions and atom-specific constants (the latter will be subjected to ML parametrization). Parameters of the model are optimized to reproduce a set of reference values and provided interatomic distances. The structural knowledge encoded in those models is simplified since it does not contain angles, bond connectivity, etc., and the final parametrization yields a single set of parameters for each element. In contrast, descriptors in ML models typically encode radial and angular information on neighboring (or even further atoms) along with atom types10,13,15,18,53 allowing a more bespoke fit. The original approach can also lead to an abundance of outliers beyond the dataset and poor transferability. As a result, any deficiencies in the reference dataset would be reflected in deficiencies in the resulting method. This statement could be easily confused with the direct quote from a modern ML paper, even though it is taken from Stewarts work published back in 2002.58 The work goes on to say, The lesson learned from this experience, an important lesson painfully learned, was that the composition of the reference dataset is of paramount importance. In 2023, this lesson may sound elementary to modern ML practitioners but it manifested the beginning of data driven techniques for quantum chemistry, and the foothold that ML has gained in the field is, therefore, no surprise. However, back in the days, outliers were tackled manually: An effective way to prevent the errors of the type that were found would have been to use rules. Such rules would likely have prevented the types of errors that are present in PM3.58 To eliminate severe outliers, SEQM was often further modified by some arbitrary rules such as additional or manually corrected terms for specific systems [water clusters, Cu liganded complexes,59 or peptide bonds as a result of improper nitrogen description,58, Fig. 1(b)]. Along with careful selection of target values (enthalpies, ionization potentials, etc.), implementation of system-specific rules implies high-level human expertise based on method development, programming, and chemical research experience. It also means that system-specific rules should be recalibrated almost by hand for new applications or chemical families. We would like to conclude this historical overview with a prediction made by Stewart himself: Finally, as more and more elements are parameterized, and as methods become increasingly sophisticated, the transition will have to be made to a purely mathematical approach.58 Stewart had foreseen that the discrepancy between chemical systems could rarely be fitted into an automated if-else conditional logic. All this goes to show that the usage of ML methods, designed to automatically identify patterns and hidden relationships in data, is in fact a highly logical direction that has been foreseen for decades.

To the best of our knowledge, the first true application of ML in SEQM could be tracked down to a 2015 report60 in which a workflow for automatic parameterization was established. Rupp et al. suggested the use of an invariant Coulomb matrix61 to take into account the structure of the molecules comprising the dataset. Given that established static parameters in orthogonalized model 2 (OM2)44 are already optimized to give the best average, this work builds upon these parameters and suggests only small structure specific corrections. The pipeline is very simple: vary one parameter P at a time to find optimal corrections P for each individual molecule using the LevenbergMarquardt algorithm;62,63 train the ML model on the derived correction P via kernel ridge regression to learn the variation of P with respect to the structure; predict P for the molecules in a test set using the ML-model; evaluate the performance of OM2 based on the P + P parameters. Figure 1(c) shows a performance comparison between the original OM2 model, a revised OM2 model (rOM2; variant conventionally reparameterized for a specific dataset in the work), and the ML-OM2 model derived with automatic parameterization in the 2015 report.60 However, rOM2 improves upon the original OM2 model, ML-OM2 exhibits slightly better accuracy for atomization enthalpies among the three models. Not only, is error distribution for ML-OM2 centered at zero, but the magnitude of errors is also noticeably reduced, narrowing the gap between SEQM and DFT. This seminal work suggests that ML is a powerful approach for a broad improvement of the SEQM family without sacrificing its favorable computational cost, even taking into account the small overhead of on-the-fly P predictions.

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First Light for a Next-Generation Light Source – Physics

September 19, 2023• Physics 16, 160

The Linac Coherent Light Source, an x-ray free-electron laser at SLAC National Accelerator Laboratory, lights up for the first time after an upgrade that should allow it to deliver up to one million x-ray pulses per second.

G. Stewart/SLAC National Accelerator Laboratory

G. Stewart/SLAC National Accelerator Laboratory

X-ray free-electron lasers (XFELs) first came into existence two decades ago. They have since enabled pioneering experiments that see both the ultrafast and the ultrasmall. Existing devices generate short and intense x-ray pulses at a rate of around 100 x-ray pulses per second. But one of these facilities, the Linac Coherent Light Source (LCLS) at the SLAC National Accelerator Laboratory in California, is set to eclipse this pulse rate. The LCLS Collaboration has now announced first light for its upgraded machine, LCLS-II. When it is fully up and running, LCLS-II is expected to fire one million pulses per second, making it the worlds most powerful x-ray laser.

The LCLS-II upgrade signifies a quantum leap in the machines potential for discovery, says Robert Schoenlein, the LCLSs deputy director for science. Now, rather than demonstration experiments on simple, model systems, scientists will be able to explore complex, real-world systems, he adds. For example, experimenters could peer into biological systems at ambient temperatures and physiological conditions, study photochemical systems and catalysts under the conditions in which they operate, and monitor nanoscale fluctuations of the electronic and magnetic correlations thought to govern the behavior of quantum materials.

The XFEL was first proposed in 1992 to tackle the challenge of building an x-ray laser. Conventional laser schemes excite large numbers of atoms into states from which they emit light. But excited states with energies corresponding to x-ray wavelengths are too short-lived to build up a sizeable excited-state population. XFELs instead rely on electrons traveling at relativistic speed through a periodic magnetic array called an undulator. Moving in bunches, the electrons wiggle through the undulator, emitting x-ray radiation that interacts with other bunches and becomes amplified. The result is a bright x-ray beam with laser coherence.

The first XFEL was built in Hamburg, Germany, in 2005. Today that XFEL emits soft x-ray radiation, which has wavelengths as short as a few nanometers. LCLS switched on four years later and expanded XFELs reach to the much shorter wavelengths of hard x rays, which are essential to atomic-resolution imaging and diffraction experiments. These and other facilities that later appeared in Japan, Italy, South Korea, Germany, and Switzerland have enabled scientists to probe catalytic reactions in real time, solve the structures of hard-to-crystallize proteins, and shed light on the role of electronphoton coupling in high-temperature superconductors. The ability to record movies of the dynamics of molecules, atoms, and even electrons also became possible because x-ray pulses can be as short as a couple of hundred attoseconds.

The upgrades to LCLS offer a new mode of XFEL operation, in which the facility delivers an almost continuous x-ray beam in the form of a megahertz pulse train. For the original LCLS, the pulse rate, which maxed out at 120 Hz, was set by the properties of the linear accelerator that produced the relativistic electrons. Built out of copper, a conventional metal, and operated at room temperatures, the accelerator had to be switched on an off 120 times per second to avoid heat-induced damage. In LCLS-II some of the copper has been replaced with niobium, which is superconducting at the operating temperature of 2 K. Bypassing the damage limitations of copper, the dissipationless superconducting elements allow an 8000-fold gain in the maximum repetition rate. The new superconducting technology is also expected to reduced jitter in the beam, says LCLS director Michael Dunne. Greater stability and reproducibility, higher repetition rate, and increased average power will transform our ability to look at a whole range of systems, he adds.

LCLS-II is a boon for time-resolved chemistry-focused experiments, says Munira Khalil, a physical chemist at the University of Washington in Seattle. Khalil, a user of LCLS, plans to take advantage of the photon bounty of the dynamical experiments. She hopes such experiments may fulfill a chemists dream: real-time observations of the coupled motion of atoms and electrons. With extra photons, scientists could also probe dilute samples, potentially shedding light on how metals bind to specific sites in proteinsa process relevant to the function of half of all of natures proteins.

The megahertz pulse rate also means that experiments that previously took days to perform could now be completed in hours or minutes, says Henry Chapman of the Center for Free Electron Laser Science at DESY, Germany. At LCLS and later at Hamburgs XFEL, Chapman ran pioneering experiments to determine the structures of proteins. The method he used, called serial crystallography, involves merging the diffraction patterns of multiple samples sequentially injected into the XFELs beam. Serial crystallography has allowed scientists to determine the structures of biologically relevant proteins that form crystals too small to study with conventional crystallography techniques. Chapman says that the increased throughput enabled by LCLS-II will permit much more ambitious experiments, such as measurements of biomolecular reactions on timescales from femtoseconds to microseconds. One could also think of an on the fly analysis that feeds back into the experiment to discover optimal conditions for drug binding or catalysis, he says.

For Khalil, the dramatic speedup of the experiments is a key advance of LCLS-II, as she thinks it will make these kinds of experiments accessible to a wider group of people. Until now, she says, XFEL facilities were mostly used by people who had the opportunity to work extensively at XFELs as postdocs or graduate students. Many more experimenters should now be able to enter the XFEL arena, she says. Its an exciting time for the field.

Matteo Rini

Matteo Rini is the Editor of Physics Magazine.

The slow drift of microscale features on a surface reveals the force driving atoms from the hot to the cold side of the material. Read More

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Heres How Another Bitcoin Flash Crash Could Mean Bad News For You – Coinpedia Fintech News

The correlation between Bitcoin and the price movements of altcoins is a complex issue that investors need to carefully consider during bear markets.

The altcoin market is highly speculative and influenced by its own fundamental factors, but it is also significantly influenced by the four-year Bitcoin cycle. Bitcoin plays a pivotal role in providing liquidity to the altcoin market, especially in regions where cryptocurrencies are not well-received.

Jason Pizzino, a prominent crypto analyst, believes that another flash crash in the Bitcoin price could potentially drive many altcoins below their lower support levels from 2022/2023. This could lead to a significant decrease in the value of altcoins relative to their Bitcoin pairs.

Read More: This Week Could Be Crucial For Bitcoin & These Altcoins- But Why?

In terms of price action, Bitcoin is currently facing considerable selling pressure following the occurrence of a daily death cross between the 50 and 200 Moving Averages (MA). However, Captain Faibik, a renowned crypto analyst, believes that Bitcoins dominance is on the verge of surging after several weeks of consolidation.

Retesting the Support

At present, Bitcoin is in the process of retesting a critical support level of around $25.7k. If Bitcoins price closes below this pivotal support level in the coming days, there is a likelihood that the leading cryptocurrency may decline towards the $24k mark.

Also Read: Bitcoin Bullish Divergence Confirmed-Bearish September Could Knock-Over to Trigger An Uptober!

Investors who are holding altcoins should be aware of the risks associated with the correlation between Bitcoin and altcoin prices. If Bitcoins price crashes, it is likely that altcoin prices will also crash. Investors should carefully consider their investment strategies and make sure that they are prepared for the possibility of a bear market.

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Heres How Another Bitcoin Flash Crash Could Mean Bad News For You - Coinpedia Fintech News

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If Einstein and Bohr met for a beer today, what would they talk about? – Medium

Photo by Andrew George on Unsplash

The intellectual exchange between Einstein and Bohr on quantum theory remains one of the most momentous and well-documented dialogues in the history of physics.

They were two towering figures in 20th-century physics, and their debates primarily revolved around the interpretation of quantum mechanics. At the core of their disagreement were differing views on determinism, realism, and the nature of measurement in quantum systems.

Einstein was a proponent of local realism, advocating for a deterministic universe where physical properties have well-defined values independent of observation. He famously said, God does not play dice with the universe, indicating his discomfort with the inherent randomness that quantum mechanics seemed to introduce.

Bohr, on the other hand, embraced the probabilistic nature of quantum mechanics and defended the Copenhagen interpretation. According to this view, quantum systems dont have definite properties until they are measured, and the act of measurement itself plays a crucial role in determining the state of the system.

One of the most famous instances of their debate was Einsteins formulation of the EPR paradox (Einstein-Podolsky-Rosen paradox) in 1935. This thought experiment aimed to show that quantum mechanics was incomplete because it allowed for spooky action at a distance, where entangled particles could instantaneously affect each other regardless of the distance separating them. Einstein viewed this as a violation of the principle of locality.

Bohr countered by arguing that Einsteins paradox was based on classical intuitions that didnt fully apply in the quantum realm. According to Bohr, the seeming non-locality is a result of our classical expectations, and theres no violation of physical principles in the quantum description.

Given the extensive developments in quantum mechanics since their era, I cannot help but wonder how these formidable minds would converse in the context of 21st-century advances!

This article is an attempt to hypothesize their perspectives on five topics and providing an analytical account of their likely viewpoints.

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The Girlies Know: ‘Oppenheimer’ Was Actually About Us – The New York Times

From afar, the film has all the makings of a Bildungsroman, the coming-of-age form that depicts a passage from callow youth into maturity. But in Oppenheimers case, age arrived long before wisdom. A story by Murray Kempton in the December 1983 issue of Esquire describes how the real Oppenheimer was, as a precocious young man, so blessedly sheltered from the demands of real life protected from the routine troubles, discontents and worries that instruct even while they are cankering ordinary persons that he was transported to his glittering summit innocent of all the traps that every other man of affairs has grown used to well before he is 42 years old. It is only when Oppenheimer is already middle-aged, a man whose faith has only ever been in his own intelligence, that he gets his first reality check, at the hands of a once-adoring government bureaucrat named Lewis Strauss. This is an experience any self-identifying girlie will recognize: a profound betrayal from a friend-turned-frenemy.

Here the girlhood parallels move beyond the facetious to acquire a darker quality, as shame begins to erode Oppenheimers sense of self. As hes accused of being a Communist sympathizer and publicly ridiculed in a kangaroo trial, the once-venerated scientist finds each of his beliefs collapsing. The great Oppenheimer realizes that no amount of personal brilliance can counter the force of the state. He finally sees that he has devoted his intellect to a system that was rigged against him, one that took advantage of his brilliance and then punished him for it. The same man who once earnestly referred to himself as a prophet is now paralyzed by his inability to either have or act on any firm conviction; the veneer of his certainty in his own power has been stripped away. Near the films end, Oppenheimer silently reckons with visions of what his brilliance has wrought: unimaginable suffering and fire as the invention he fathered wipes out civilization itself. Even on my fourth viewing, the sight of Murphys frosty blue stare elicited in me a deep familiarity, making me recall a line from Annie Ernauxs A Girls Story: To have received the key to understanding shame does not give the power to erase it.

In theory, I have little in common with this man. But shame living with it, drowning in reminders of it, never being free from your own inadequacy and failure is a great equalizer. Being plagued by the squandering of your abilities, condemned to a lifetime of uncertainty, forever wondering where you went wrong or whether you were always set up to go wrong. This is the precondition of girlhood that Barbie tried to portray the dual shock and dissonance of navigating a world that seems to vilify your existence, imbuing it with persistent and haunting shame while also demanding that you put on a show for the hecklers. But it was while watching a helpless Oppenheimer, stunned at being forced to participate in his own public degradation by the U.S. government, that I averted my eyes in dread and recognition.

For a Great Man like him, it took the twin shames of the bombs destruction and public disgrace to have this life-altering yet basic realization about his own powerlessness. But this feeling of betrayal at the hands of the same system that once adulated you is not solely the domain of men who reach a certain age and come to the uncomfortable realization that after a lifetime of revolving around them, the world is now moving on, indifferent or even hostile to their existence. This is a rule and a warning that life has drilled into girls from age 13, if not sooner. The same powers that have displayed you like a trophy will not hesitate to spit you out the moment you have ceased to be useful.

Oppie needed greatness to understand that.

But the girlies?

We have always known.

Iva Dixit is a staff editor for the magazine. She last wrote a profile of the Jamaican dancehall star Sean Paul.

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The Girlies Know: 'Oppenheimer' Was Actually About Us - The New York Times

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University Assistant Predoctoral, Physics job with UNIVERSITY OF … – Times Higher Education

51 Faculty of PhysicsStartdate:01.11.2023|Working hours:30|Collective bargaining agreement:48 VwGr. B1 Grundstufe (praedoc)Limited until:31.10.2027Reference no.:1255

Do you have an interest in the foundations of quantum theory? Are you fascinated by thought experiments and do you appreciate the mathematical elegance of a physical theory? Are you interested in developing new quantum information tasks and protocols? If yes, then we invite you to join the Operational Quantum Information Team.

Your personal sphere of influence:

As a university assistant (praedoc) in this 4-year position, you will be part of the Operational Quantum Information Team around Professor Borivoje Daki, and you will be focusing on research topics in quantum foundations and quantum information theory.

Our research focuses on the foundations of quantum mechanics, quantum information theory, and practical applications of quantum information. Examples include operational reconstruction of quantum theory and quantum particle statistics, exploring quantum phenomena at macroscopic scales, and advancing quantum verification theory.

Our Team is part of the Quantum Optics, Quantum Nanophysics and Quantum Information group of the Faculty of Physics.We are member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe, and of the Austrian Cluster of Excellence (quantA), advancing basic research in quantum sciences, aiming to expand the frontiers of knowledge and thus being the engine for future innovations.

You will also benefit from being fellow of the Vienna Doctoral School in Physics (VDSP), being part of a thriving community with more than 100 quantum scientists on premise, about 300 quantum researchers in Vienna.

The Daki group is an international team of eight young scientists (Master & PhD). Our expertise lies in quantum foundations and quantum information theory.

Your future tasks:

You will actively participate in research, teaching & administration. This means:

This is part of your personality:

What we offer:

Inspiring working atmosphere:You are a part of an international academic team in a healthy and fair working environment.

Good public transport connections:Your workplace in the center of beautiful Vienna is easily accessible by public transport.

Potential for development:Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world.

Internal further training & Coaching:The Vienna Doctoral School as well as the department of human resources offer plenty of opportunities to grow your skills in over 600 courses to choose from free of charge.

Fair salary:The basic salary of EUR 2.457,00 (30h, 14x p.a.) increases if we can credit professional experience.The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to4 yearsif the employer does not terminate it within the first 12 months by submitting a non-extension declaration.

Equal opportunities for everyone:We look forward to diverse personalities in the team!

t is that easy to apply:

Note, that while a Masters degree is the usual legal prerequisite for a PhD position at the University of Vienna, we can consider Bachelors (preferentially with Honors) in exceptional cases, too.

If you have any questions, please contact:

Borivoje Dakicborivoje.dakic@univie.ac.at

We look forward to new personalities in our team!The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, theadvancement of womenanddiversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

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Application deadline:10/06/2023

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University Assistant Predoctoral, Physics job with UNIVERSITY OF ... - Times Higher Education

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September Brings Altcoin Heat with Solana (SOL), XDC Network … – Siliconindia.com

As September unfolds, the altcoin market is riding the waves of Tradecurve Markets (TCRV), Solana (SOL), and XDC Network (XDC). This month is particularly notable for Tradecurve Markets as it embarks on its presale phase, providing an exciting opportunity for early investors to participate in this promising project. Stay tuned for more insights on these altcoins as we delve into their unique features and potential trajectories.

Register For The Tradecurve Markets Presale

Tradecurve Markets (TCRV): From $0.010 to a Sizzling $0.025 and Climbing

Tradecurve Markets is making waves in the financial sector with its hybrid trading platform that borrows benefits from both centralized and decentralized exchanges. Here, a global user base gets direct access to cryptocurrencies, equities, commodities, and forex.

One of Tradecurve Markets standout features is the elimination of the cumbersome and often intrusive KYC processes. This democratizes trading, enabling anyone globally to embark on their trading adventures by merely linking their DeFi wallet and depositing cryptocurrency as collateral.

But that's not all; Tradecurve Markets offers an arsenal of innovative tools. Tradecurve Markets users can emulate top traders, harness AI for trading automation, reap rewards through crypto staking, and amplify their trading power with up to 500:1 leverage.

The fervor surrounding Tradecurve Markets presale is undeniable. Starting from a price of $0.010 in phase 1, the token's value has ascended to $0.025 as of today. With the price set to keep on increasing as the presale moves through its phases, the rush to get in early is heating up.

Given this powerful debut in the vast world of finance, market experts foresee a remarkable ascent for Tradecurve Markets, with potential gains soaring above 5,000% upon its debut on leading exchanges later in the year.

Solana (SOL): Rebounding and Rising to DeFi Dominance

Solana's remarkable journey from $8 to an impressive $32 has captured the global crypto community's gaze. The rebound from the relentless bearish tide of 2022 is the driving force behind Solana's recent spike, but the fundamental developments the platform has gone through so far this year can't be denied.

Currently priced at $19.39, Solana has retraced from the recent $32 peak that preceded the consolidation. Analysts note that now could be a great time to get into Solana before the next leg higher, especially if it can regain the $32 highs.

Positioned as the go-to platform for DeFi 2.0 projects, Solana is gearing up for the launch of several major initiatives. The 50% uptick in Solana's Total Value Locked (TVL) since the start of the year has bolstered the prevailing optimism.

Among the new DeFi 2.0 projects, Kamino stands out as the key project that could amplify Solana's adoption. Kamino makes it easy for Solana fans to earn yield through automated market makers and its arrival is expected to bring massive capital inflow into the Solana ecosystem.

Register For The Tradecurve Markets Presale

Weighing XDC Network (XDC)'s Growth Against Tradecurve Markets (TCRV)'s Presale Momentum

XDC Network has captured the market's attention this month after starting an alliance with IMDA's TradeTrust. Major media entity Bloomberg spotlighted this collaboration and highlighted its practical applications in the real world. This partnership news propelled the XDC Network price from $0.03 to an impressive $0.095 in a matter of weeks.

However, it's worth noting that the XDC Network price has since receded to the $0.05682 mark. Despite this, the general sentiment around XDC Network remains bullish, with predictions hinting at a surge towards its record high of $0.20.

Should XDC Network move lower, the $0.50 and $0.45 areas should provide strong support. On the flip side, $0.075 and $0.10 are important resistance levels that need to be breached for the XDC Network bull run to continue.

However, the prospective growth of the TCRV token, especially its presale, might offer more lucrative returns than the XDC Network. For the XDC Network to match the anticipated growth of Tradecurve Markets, it would need to achieve a staggering market cap ranging between $50- 100 billion, a feat that's undoubtedly challenging.

For more information about the Tradecurve Markets (TCRV) presale:

Website: https://tradecurvemarkets.com/

Buy presale: https://app.tradecurvemarkets.com/sign-up

Twitter: https://twitter.com/Tradecurveapp

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New Horizon Prize in Physics awarded to scientists chasing … – Livescience.com

Two scientists have won a $100,000 prize for describing both the structure and a way to detect mysterious black hole photon spheres. These enigmatic structures form at the edges of black holes, and could reveal the underlying physics that govern the most extreme objects in the cosmos.

Alexandru Lupsasca, of Vanderbilt University, and Michael Johnson, of Harvard University, won the New Horizon Prize in Physics "for elucidating the sub-structure and universal characteristics of black hole photon rings, and their proposed detection by next-generation interferometric experiments."

The New Horizons award is given each year to early career researchers by the Breakthrough Prize Foundation, and the prize money is donated by tech billionaires Sergey Brin, Priscilla Chan and Mark Zuckerberg, Yuri and Julia Milner, and Anne Wojcicki. A second prize was also awarded this year to Mikhail Ivanov, of MIT, Oliver Philcox, of Columbia University and the Simons Foundation, and Marko Simonovi, of the University of Florence for their work on the universe's 'cosmological collider'.

When photons stream toward a black hole, most are either bent away or (if they cross its event horizon) engulfed permanently in the dark abyss. Yet some rare light particles avoid this fate instead they surf the cosmic monster's gaping mouth in a series of tight orbits and, if the black hole is spinning, steal some of its rotational energy to miraculously spring free.

Related: The closest black holes to Earth may be 10 times closer than we thought

Detecting these photons for the first time would give physicists unprecedented insight into the most extreme objects in our universe, as well as how the known laws of physics break down in the presence of their infinite gravitational pulls.

"Gravity is the big mystery. To date we don't know how to combine Einstein's theory of general relativity, which is the relativistic picture of gravity as the bending of space-time, with quantum mechanics," the theory of the very small, Alexandru Lupsasca, who used relativity to devise what the rings should look like and find the parameters that describe them, told Live Science.

"The problem is that gravity is very weak it's the weakest of all forces," Lupsasca said. "So to have a chance of understanding quantum gravity, we have to look where gravity is strongest. And nowhere is gravity stronger than around a black hole."

Supermassive black holes are enormous, measuring roughly the width of the solar system, so it can take a photon around six days travelling at the speed of light to make an orbit. At the end of these six days, photons can either perform a U-turn to make another orbit, or fly into or away from the black hole. The photons that slip a black hole's gravity emerge in the form of an ultrathin halo around the pure black chasm: a photon sphere.

Photon spheres can be broken down into even smaller rings, with the light that went in last nesting in near-infinite bands inside the light that went in first. Peeling back these layers would reveal a string of snapshots displaying every angle of the surrounding universe, beginning with the recent past and running all the way back to the scant remaining glimmers of light captured eons ago by the black hole.

"It's like a laundromat, it takes light from every angle, lets it tumble and shoots it off in every direction," Lupsasca said. At any given time, only some photons can fit: "there's always more photons coming in, but there's always some leaking out."

After making theoretical predictions of what the rings should look like, the pair and their colleagues set about devising ways to measure the halos. Johnson realized that the Event Horizon Telescope (the EHT, which he and other researchers had used to capture the first-ever image of a black hole) was perfect for this task, if only the photon sphere could be distinguished from the fuzzy band of other light streaming from the black hole.

To achieve this, Johnson reasoned, researchers would only need to place the EHT into an array with one more telescope to distinguish the first band of the photon sphere.

"The miracle is that and this is unlike anything we've ever studied in astronomy that you can add one orbiter that's enough to study the photon ring," Johnson told Live Science. "That was just a complete shock."

Lupsasca and Johnson are working on a pitch to have NASA launch a satellite carrying the extra telescope. If successful, they could obtain the very first image of the outer band of a photon sphere within 10 to 15 years. Doing so would enable them not only to judge the size of a black hole's event horizon and its spin but also, once they have measured a second band, to probe some of the most radical theories in physics.

"This photon ring comes from as close as you can see to the visible edge of the observable universe," Lupsasca said. "If that's not enough to get you excited, I don't know what gets you out of bed."

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