SYDNEY – Japan and Australia have agreed to strengthen cooperation on quantum technology in areas including supply chain resilience, research and development, commercialization, startup support and human resource development.
Kimi Onoda, Japanese minister for science and technology policy, and Tim Ayers, Australian minister for industry and innovation, signed a related memorandum in Sydney on Monday.
Since Japan has signed similar memorandums with the United States and India, the latest move is expected to accelerate cooperation on quantum technology within the “Quad” framework.
Ayers emphasized the agreement’s importance, saying that it would accelerate the spread of quantum technology in Japan and Australia and in the broader Indo-Pacific region.
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Jul 29, 2026 · via japantimes.co.jp
MELAKA: Universiti Teknikal Malaysia Melaka (UTeM) has made history by becoming the first university in the country to offer a bachelor's degree in quantum computing technology, positioning the country at the forefront of next-generation digital innovation. UTeM vice-chancellor Professor Datuk Dr Massila Kamalrudin said the milestone was further strengthened through strategic collaborations with three universities in the United States to advance education, research and talent development in quantum computing. She said the Bachelor of Computer Science (Quantum Computing Technology) programme had successfully passed the screening stage in early July, marking another historic achievement for the university. "The new programme is designed to produce graduates equipped with both theoretical knowledge and practical skills in quantum computing technology, while meeting Malaysia's growing demand for experts in this strategic field, which is rapidly advancing worldwide," she said on Wednesday (July 29). Massila said the programme reflected UTeM's commitment to strengthening education centred on future technologies while supporting the national agenda of developing highly skilled talent in advanced digital technologies. As part of the initiative, she said UTeM had also become the first university in the country to establish a dedicated physical laboratory for teaching, learning and research in quantum computing. "The laboratory is equipped with 23 quantum computers with two- and three-qubit capabilities, allowing students to conduct experiments and practical training using real quantum computing technology," she said. Massila said UTeM was also strengthening its position as a regional hub for quantum technology education through strategic collaborations with the University of Buffalo, the University of Albany and the University of Texas in the United States. She said the partnerships would focus on curriculum development, research, talent development, academic mobility and the exchange of expertise in quantum computing technology. Commenting further, Massila said the programme was aligned with the Technical and Vocational Education and
Jul 29, 2026 · via thestar.com.my
TOKYO -- More Japanese companies are exploring the use of quantum computing, with Nissan Motor and auto supplier Denso among the early movers.
Automaker teams with startup Quemix on quantum-assisted aerodynamic simulations
Quantum computing can be used for a wide variety of applications, from aerodynamic testing to drug discovery. (Illustration by Nikkei)
TOKYO -- More Japanese companies are exploring the use of quantum computing, with Nissan Motor and auto supplier Denso among the early movers.
Jul 29, 2026 · via asia.nikkei.com
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Jul 29, 2026 · via all-about-industries.com
In Summary Most technologies create value before they create problems, but quantum computing may break that pattern. Imagine two clocks ticking side by side: one measures the time until quantum computers become economically useful, the other the time until they can break the cryptography that underpins the financial system. Which clock strikes first is a genuinely open race. The upside potential is real but narrowly concentrated around derivative pricing and other complex financial simulations. Beyond these areas, its impact on the financial industry is likely limited. Quantum computing accelerates Monte Carlo methods behind financial simulations, while it shows no consistent advantage yet over improving classic methods for portfolio optimization and financial machine learning. Insurers are well positioned as simulation and optimization are at the heart of liability valuation, risk pricing, capital modelling and asset-liability management. Quantum money could use uncopiable quantum states to authenticate value and prevent counterfeiting, although commercial deployment remains remote. The rewards remain theoretical for now, threatened by error-correction overhead and a rising classical benchmark, until large machines exist. But quantum-inspired methods deliver operational value on classical hardware today, and the talent, tooling and know-how built along the way will carry over. Q-day could come sooner than we think: data harvested today can be decrypted later. The recipe for breaking today's encryption has existed since 1994 and waits only for the machine, which is also the smaller one, needing roughly 1,250–1,450 logical qubits vs around 4,700–7,500 for leading financial applications. Health records, classified government information and sensitive financial data must stay confidential for decades, but experts put the probability of Q-day, the point at which a cryptographically relevant quantum computer exists, arriving within ten years at 28–49%. Defensive standards have existed since 2024, and regulators have set dates: The US National Institute of Standards and Technology (NIST)
Jul 29, 2026 · via allianz-trade.com
On June 22, 2026, the administration issued two Executive Orders: Executive Order 14413, Ushering in the Next Frontier of Quantum Innovation (Quantum Innovation Executive Order) and Executive Order 14412, Securing the Nation Against Advanced Cryptographic Attacks (Post-Quantum Cryptography Executive Order). Together, the Executive Orders reinforce the federal government’s long-term commitment to quantum information science and technology (QIST) while continuing to frame quantum as both an economic and national security priority. Although they impose relatively few immediate legal obligations on most companies, the Executive Orders provide important signals about where federal investment, procurement, and strategic partnerships are likely to emerge over the coming years. For founders, investors, and strategic partners, the practical question is less what the Executive Orders require today than how they should influence fundraising, commercialization, and collaboration strategies going forward. Quantum Innovation Executive Order The Quantum Innovation Executive Order emphasizes commercialization and deployment of QIST, support for quantum-enabling technologies, workforce development, domestic supply chains, and partnerships among government, academia, and U.S. industry.1 One of the Order’s principal initiatives is the creation of the Quantum Computer for Application Development and Discovery Science (QC-ADDS) effort, a multi-agency initiative intended to develop a utility-scale quantum computer. Rather than selecting a preferred hardware architecture, the Order directs agencies to identify the technical specifications needed for such a system and to develop a plan encouraging technical contributions from private-sector quantum companies. This modality-neutral approach is consistent with the administration’s broader investment strategy. Through the CHIPS Act, the administration recently announced approximately $2 billion in quantum investments, including approximately $100 million in planned funding to each of Atom Computing, D-Wave, Infleqtion, PsiQuantum, Quantinuum, and Rigetti, spanning neutral atom, silicon-spin, superconducting, photonic, and trapped-ion quantum computing architectures.2 Importantly, the Executive Order extends well beyond quantum processors themselves. It specifically identifies quantum networking, quantum sensing, quantum-enabling
Jul 29, 2026 · via wsgr.com
Quantum mechanics is so odd that even the visionary genius who described the secrets of the Universe seemed to dismiss certain aspects as eerie. "Spooky action at a distance" is how Albert Einstein described quantum entanglement, a weird connection between particles that classical physics cannot explain. From our classical perspective, it seems to allow instantaneous communication, thereby breaking the speed of light and garnering Einstein's ire. For example, if we flipped two quantum-entangled coins and one landed heads up, we could know for sure whether the second coin would instantly land tails up – even if one were flipped on Earth and the other on Mars. That's because measuring one instantly reveals the state of the other, a correlation with no classical explanation. This spooky synchronization is a basis for quantum computing, with untold potential for machine learning, pharmaceutical design, digital communications, and other essential applications. Now, physicists at the Institute of Science and Technology Austria (ISTA) and the Technical University of Munich in Germany have achieved a breakthrough by experimentally confirming a 20-year-old entanglement theory, providing a prototype for scaling up quantum computing processes. Not too dissimilar from hosing down an irascible chihuahua, the researchers used a 'quantum bath' of light particles to entangle isolated qubits (quantum bits), the functional units of quantum computers. Qubits are the quantum counterparts of bits (binary digits), the basic units of information that power conventional computers. Bits can represent two values, 1 or 0, which are akin to a switch being 'on' or 'off.' Qubits, however, can exist in a superposition of 1 and 0 states – like Schrödinger's famous box-trapped tabby, a metaphor for how such quantum particles can exist in multiple states at once. More traditional entanglement approaches include two methods. The first sends a single, actively controlled photon between two
Jul 29, 2026 · via sciencealert.com
Dive Brief: - Cybersecurity company Keyfactor announced the expansion of its global partner program last week as part of its efforts to advance rapidly evolving security capabilities such as post-quantum cryptography, a type of encryption designed to resist cyberattacks from quantum computers. - Keyfactor’s program features value-based incentives, enhanced co-selling, opportunity protection and AI-powered co-marketing, according to the company. The cybersecurity provider will also increase investment in hyperscalers to aid partners with procurement and unlock funding programs. - “As AI accelerates the growth of machine identities and organizations prepare for post-quantum cryptography, customers need more than technology,” said Louise McEvoy, senior vice president of global channel sales at Keyfactor. “They need trusted partners that can identify cryptographic risk, build a quantum-ready roadmap, secure investment, implement change and manage digital trust over time.” Dive Insight: Quantum computers, which harness quantum mechanics to run at super speeds, can break traditional security and encryption algorithms. Though most quantum computing technology is far from market-ready, post-quantum cryptography aims to create quantum readiness. Some partners, like Accenture and Unisys, are already offering post-quantum cryptography services. “The market has moved rapidly,” McEvoy said. “AI is driving exponential growth in machine identities, certificates, keys and cryptographic dependencies, while the transition to post-quantum cryptography is forcing organizations to reassess the resilience of their entire digital trust infrastructure. Combined with regulatory pressure and evolving standards, quantum readiness has become an immediate business and cybersecurity priority.” McEvoy added that partner expectations have changed significantly over the last year. Partners that once focused on product training, incentives and transactional support now want to build differentiated practices, develop advisory and implementation services and create recurring managed services that engage customers earlier in their transformation journey, she said. Keyfactor expanded its program to enable that shift. “Most partner programs remain structured around how
Jul 29, 2026 · via channeldive.com
Anthropic says its Mythos model found vulnerabilities in cryptographic algorithms that secure the internet Key Points - Anthropic's AI model Claude Mythos Preview found mathematical weaknesses in cryptographic algorithms, including a reduced version of AES, the world's most widely used symmetric encryption standard. Anthropic says the findings have no immediate impact on systems currently in use. - Working largely on its own in a multi-agent system, the model developed two attacks at an API cost of roughly $100,000 each. - According to Anthropic, the human researchers mostly handled project management, provided simple prompts, and later verified the results. Anthropic's AI model Claude Mythos Preview found mathematical weaknesses in cryptographic algorithms that underpin digital security. According to Anthropic, the model developed an improved attack on the post-quantum signature scheme HAWK and a new attack on a reduced version of the Advanced Encryption Standard (AES). Encryption protects nearly everything people do online, and AES is the world's most widely used symmetric encryption standard for digital data. Anthropic says neither finding affects systems in use today. HAWK is only a candidate in an ongoing standardization process run by the U.S. National Institute of Standards and Technology (NIST) and the AES attack applies to a modified version that uses 7 of the full scheme's 10 rounds. Still, the results show how AI models could challenge core assumptions behind internet security. Mythos found the HAWK attack in 60 hours for $100,000 HAWK is one of the remaining schemes in the third round of NIST's competition for additional post-quantum signatures. These schemes are designed to stay secure even against future quantum computers. Human experts had reviewed HAWK for over two years, but Mythos Preview found an improved attack in just 60 hours, according to Anthropic. The attack exploits a previously undetected symmetry in the mathematical lattice
Jul 29, 2026 · via the-decoder.com
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Jul 29, 2026 · via cioreview.com
Zcash seals $1.7 billion shielded pool as Ironwood upgrade activates The upgrade retires Orchard, where a counterfeiting bug sat undetected for four years. Every coin inside now has to leave through a gate that caps withdrawals at verified deposits. - Zcash has activated its Ironwood (NU6.3) upgrade, sealing the Orchard shielded pool that held about 3.66 million ZEC and opening a new private pool that starts with zero coins. - A previously undisclosed bug in Orchard’s proof circuit could have allowed the creation of counterfeit ZEC without onchain traces, prompting the move to Ironwood and a turnstile mechanism that caps withdrawals to verifiable deposits. - Ironwood introduces quantum-resilient record-keeping and formally verified proof circuits, but the pace at which users voluntarily migrate funds from Orchard will determine how quickly Zcash’s private supply shifts to the new pool. Zcash activated its Ironwood upgrade at block 3,428,143 on Tuesday, sealing the so-called “shielded pool” that holds most of the network's private funds and opening a migration into a pool that starts from zero tokens. Ironwood, formally known as NU6.3, retired the previous pool known as Orchard, which holds about 3.66 million ZEC, worth roughly $1.7 billion at current prices. Ironwood held zero ZEC at activation, trackers showed. Every coin has to be moved across by its owner, and the only route out of Orchard is a turnstile — an accounting rule at the pool's boundary that caps total withdrawals at the amount verifiably deposited. Shielded pools are the private side of Zcash, where the amounts of coins and participants are hidden. A zero-knowledge proof provides evidence that the amount deposited is reflected publicly. On May 29, Shielded Labs researcher Taylor Hornby found that Orchard's proof circuit contained a bug that would let an attacker mint counterfeit ZEC, leaving no onchain trace. The
Jul 28, 2026 · via coindesk.com
Start with what a quantum computer actually is, because the industry never bothers to explain it. Your laptop stores everything as bits, tiny switches that are either 0 or 1. A quantum computer uses qubits, which can be 0 and 1 at the same time, a genuine weirdness of physics that lets the machine explore huge numbers of possibilities at once. That is why governments and companies believe these machines will one day design new drugs, new batteries and new materials that no normal computer could ever figure out. But here is the catch nobody puts out: to do any of that useful work, you need thousands of qubits working together. The best machine on earth today only has 98! Why so few? Because of how the qubits are built. One of the leading methods, called trapped ions, uses single charged atoms as qubits, floating in a vacuum, held in place by electric fields, like marbles balanced in an invisible groove. These atomic qubits are the most accurate ever made. But the invisible groove has a shape, and for twenty years that shape has been a straight line. Atoms sit in single file, one behind the other. Want more? Make the line longer, which gets unstable, or connect several lines with junctions, basically road intersections for atoms, which are so hard to engineer that entire companies have spent a decade on them. The line is why quantum computers have stayed small. ZuriQ believes the line itself is the mistake. The Zürich based company announced a $25.5 million seed round, led by Quantonation, the Paris and Boston fund that invests exclusively in physics startups, with participation from Forward.one, Extantia, Firgun Ventures, and every investor from its $4.2 million pre-seed, including Founderful. The pre-seed funding round in ZuriQ was led by Founderful
Jul 28, 2026 · via hackernoon.com
Brendan Ray Builds Tool for Quantum Physics Research By Kirsten Heuring Media Inquiries- Associate Dean of Marketing and Communications, MCS - 412-268-9982 Carnegie Mellon University student Brendan Ray is pushing the boundaries of physics research, creating tools that could deliver insights into quantum physics and bring scientists closer to more advanced superconductors. “High energy and quantum physics are some of the most exciting topics in physics,” said Ray, a rising sophomore studying physics on the quantum physics track. Ray worked with Ben Hunt, associate professor of physics and co-director of the Pittsburgh Quantum Institute (PQI). Hunt investigates ways to create superconductors, which can conduct electricity without losing energy. One of the challenges is that superconductors typically work at extremely low temperatures, often near absolute zero, where atoms stop moving. Hunt and other researchers are investigating ways to develop structures that combine semiconductors and superconductors. Advancing these materials could accelerate the development of quantum computers, which can process multiple functions simultaneously instead of one at a time like traditional computers. To develop these materials, researchers need advanced semiconductor fabrication techniques. “Certain properties of semiconductors are highly tunable, which is why they are used to make transistors,” Hunt said. “It would be exciting to take advantage of some of those properties in devices for quantum computing.” Ray is building a photolithography stepper, a machine used widely in industrial manufacturing to pattern semiconductors. The system projects intricate patterns onto silicon chips with a UV-sensitive coating, enabling the chips to conduct electricity in specific ways. Because commercial lithography steppers can cost tens of thousands of dollars, Ray used documentation from The Hacker Fab at CMU, a student-run semiconductor fabrication facility, to guide the development of a more accessible machine. “It’s more time-effective and more cost-effective to have a homemade lithography stepper,” Ray said. “It’s
Jul 28, 2026 · via cmu.edu
A $5 million grant from the U.S. National Science Foundation is funding the creation of TangleLab, a new national testbed for hybrid quantum-classical computing led by the Pittsburgh Supercomputing Center. Rigetti Computing and Hewlett Packard Enterprise are partnering in the project, which will give researchers and students hands-on access to an integrated system designed to explore the future of scientific computing. “Carnegie Mellon has long been a leader in advances in computing, and through the Pittsburgh Supercomputing Center we continue to invest in the infrastructure that enables the next generation of discovery,” said Theresa Mayer, vice president for research. TangleLab aims to define how quantum and classical computers will work together, while also preparing a workforce equipped to utilize these emerging technologies. TangleLab: Integrating Quantum Technologies with High-Performance Computing A $5 million grant from the U.S. National Science Foundation is establishing TangleLab, a national testbed designed to explore the integration of quantum computing with existing high-performance computing infrastructure. This investment signals a clear federal commitment to hybrid quantum-classical systems. Led by the Pittsburgh Supercomputing Center, TangleLab will not deploy a standalone quantum computer, but instead focus on creating an open platform for researchers and educators to investigate how quantum processors can function as specialized resources within broader computing environments. This approach acknowledges that quantum computers are not intended to replace classical systems entirely, but rather to augment them for specific, computationally intensive tasks. The platform, developed in partnership with Hewlett Packard Enterprise and Rigetti Computing, aims to address fundamental questions about the design, programming, management, and optimization of these hybrid systems. “With TangleLab, we are really looking into integrating quantum technologies into classical high-performance computing environments to enable hybrid quantum-classical workflows that can demonstrate potential quantum utility,” said Bruno Abreu, deputy scientific director at PSC. Unlike classical computers utilizing bits,
Jul 28, 2026 · via quantumzeitgeist.com
Newswise — Electrons zipping through transistors, powering the screens on our smartphones. Light zooming from distant stars to Earth, moving faster than anything else in the universe. Protons enabling MRI machines to analyze people’s injuries. Quantum mechanics explains the behavior of subatomic particles like electrons, photons, and protons. In contrast to classical physics that we can observe with our senses, particles in the quantum realm have unusual behaviors. Even though quantum particles make common technologies possible, we don’t experience these behaviors in our everyday world. That’s why a discovery in 1985 was such a big deal. In a laboratory in the University of California, Berkeley, a team of three scientists showed that a system you could see could demonstrate quantum behavior. Or as they said in one of the journal articles covering the experiments, the system was “big enough to get one’s grubby fingers on.” Four decades later, John Clarke, Michel Devoret, and John Martinis were awarded the Nobel Prize for that research. Over those four decades, quantum researchers have transformed what at the time seemed like an interesting discovery into a full-blown technological field. Building on that fundamental research supported by the Department of Energy’s Office of Science, scientists have turned superconducting qubits into one of the most promising approaches towards quantum computing. Why quantum behavior? As you may know, light can behave as both a wave and particle. That duality applies to all subatomic particles, including electrons. Quantum mechanics explains how this dual nature affects particles’ interactions. These have big implications for the classical world around us. “Quantum mechanics was created to explain phenomena that seem to defy classical physics,” said Irfan Siddiqi, a professor at the University of California, Berkeley. In a classical system – like a basketball moving through the air – there are many variables,
Jul 28, 2026 · via newswise.com
AT&T’s D-Wave quantum pact achieves new network efficiencies AT&T’s move to expand its use of D-Wave's quantum computing technology reflects the service provider’s plans to address optimization challenges across its network operations. An initial focus for AT&T is to layer D-Wave's annealing quantum computing technology into the tools that are already powering AT&T’s agentic AI solutions. D-Wave's quantum annealing technology is a specialized analog computing approach designed to solve complex optimization problems by letting physical systems naturally find their lowest energy state. For AT&T, agentic AI is about enhancing how it operates its network. Agentic tools in AT&T’s network are improving network operations like outage detection and management, reducing customer downtime by 12 million hours in 2025. Further, AT&T said that quantum capabilities could help increase the benefits of agents in AT&T’s network operations. “D-Wave’s annealing quantum computing technology gives us a new way to approach optimization and high-intensity compute challenges across AT&T’s network operations,” said Lucus Haugen, director, Data Science for AT&T’s Chief Data Office. New efficiencies A key focus for AT&T is centered around gaining new efficiencies. In one of its first applications, AT&T used D-Wave's technology to reduce the processing time for a network optimization workload from approximately one hour to less than 15 seconds. Based on these early results, AT&T plans to explore using D-Wave’s quantum computing technology across a broader set of applications, such as outage detection and response, technician routing, network build planning, and traffic management. Through these applications, AT&T said it will explore how faster processing could translate into faster and more accurate planning, as AT&T scales its converged fiber and 5G network to meet growing AI-driven demand. “The speed we’re seeing with D-Wave challenges what’s currently possible. It has the potential to help us optimize faster, increase efficiency and scale more real-time
Jul 28, 2026 · via lightwaveonline.com
UK experts have pioneered Quantum Phononic Links, a new approach that could enable scalable long-distance quantum information transfer across future quantum computing chips. Researchers at the University of Warwick, working with the National Research Council (NRC) Canada, have unveiled a new concept that could overcome one of the biggest technical barriers to large-scale quantum computing: efficiently transferring quantum information between qubits across an entire semiconductor chip. Dr Maksym Myronov, Department of Physics, University of Warwick, explained: “One of the key challenges in quantum computing is long-range qubit connectivity. “Our work introduces a new concept in which phonons act as a quantum bus, enabling distant qubits to exchange quantum information while remaining fully compatible with semiconductor technology.” Published in APL Quantum, the team showcases Quantum Phononic Links (QPLs), a proposed communication method that uses sound-like vibrations, known as phonons, to transmit quantum information between qubits separated by long distances. The approach is designed to support future quantum processors containing millions of qubits. If successfully developed, the technology could provide a more scalable and cost-effective alternative to existing methods for connecting distant qubits. Because it is compatible with established semiconductor manufacturing processes, it could also simplify the production of commercial quantum computing hardware. Addressing a key quantum computing challenge Current quantum processors typically allow direct communication only between neighbouring qubits. While this architecture is sufficient for small-scale experimental devices, it presents a significant obstacle for the development of practical quantum computers capable of solving complex scientific and industrial problems. Future quantum systems are expected to require millions of qubits distributed across semiconductor chips measuring up to 300mm in diameter. Efficiently moving quantum information between these distant qubits remains one of the major engineering challenges facing the industry. The Warwick-led research proposes using phonons, tiny mechanical vibrations that travel through solid materials, as
Jul 28, 2026 · via innovationnewsnetwork.com
AT&T is using D-Wave’s quantum computing technology to shrink a network-optimization workload from roughly an hour of processing to under 15 seconds, D-Wave announced today. That’s about a 240X speedup on a real-world task, which sounds suspiciously like quantum advantage to me. As a result, AT&T has signed an agreement to expand its use of D-Wave’s quantum computing technology to attack optimization problems across its live network operations. That’s quantum computing in the real world, not in a research sandbox. And it’s quantum computing running for one of America’s largest carriers. “AT&T’s work with D-Wave is a powerful example of how leading enterprises are beginning to turn to quantum computing for solving real business problems,” Alan Baratz, CEO of D-Wave, said in a statement. “AT&T has incredibly complex optimization problems across its network operations, understands where classical computing is challenged, and is moving quickly to explore where quantum can make an impact.” Quantum computing has spent the better part of a decade as a story about the future: promising in the lab, perpetually five years away from mattering, and priced by public markets on hope rather than revenue. And there’s a lot to look forward to in the future as well, based on the conversations I’ve been having with quantum computing executives. But it’s exciting to see real results today. Like any big carrier, AT&T has seriously challenging optimization problems, with hundreds of millions of devices accessing its network to connect to the internet. It’s already using AI agents to diagnose and fix issues. But now AT&T is embedding D-Wave’s annealing quantum computers into those AI systems and using them to compute some of its hardest optimization problems: things like network build planning, traffic routing and load balancing, deciding how to reroute traffic in case of outages, or spectrum and
Jul 28, 2026 · via forbes.com
Scientists create an âelectron lighthouseâ with laser light Laser light can now do more than switch an electric current on: it can aim a narrow beam of electrons in a chosen direction. - Date: - July 28, 2026 - Source: - University of Michigan - Summary: - Scientists have created an âelectron lighthouseâ that uses laser light to launch and steer electrons through a semiconductor without an applied electrical field. The quantum effect could eventually improve optical sensors, communications, imaging, and information storage. - Share: Researchers at the University of Michigan have developed a semiconductor device that uses laser light to direct the movement of electrons without requiring an applied electric field or electrical power source. The device was primarily designed to investigate fundamental physics and demonstrate a behavior that had never previously been observed. However, the discovery could eventually support technologies that combine optics and electronics, including advanced sensing, imaging, and telecommunications. It may also lead to better ways of transmitting signals between devices and encoding more information within them. "This electrical device that we manufactured at the Lurie Nanofabrication Facility has the potential to turn into something that measures different aspects of light," said Yiming Gong, who helped lead the project as a doctoral student in the U-M Department of Physics. "But this originates from a very fundamental level of physics, which is the interference between different optical absorption processes." Two Colors of Light Direct Electron Flow With federal support from the U.S. National Science Foundation, the team demonstrated that two different colors of light could produce an organized flow of electrons through a semiconductor. The researchers could also change the direction of that current by rotating the polarization of the two optical fields, which describes the direction in which the light waves oscillate. "This isn't the way
Jul 28, 2026 · via sciencedaily.com
Newswise — NEWPORT NEWS, VA – Tommaso Rainaldi had a nontraditional path to physics. He is one of a set of triplets, born and raised in the small Italian town of Grosseto. He became a junior world champion roller skater. But the hard sciences also intrigued him in his youth. And so, after middle school, when Rainaldi was given the choice of which high school to attend, he chose the Liceo Scientifico, or what he calls the “scientific one.” After high school, Rainaldi recalled recently, “I knew I wanted to continue studying, and physics really called to me because it seemed where everything started to make sense.” Rainaldi went on to earn a bachelor’s in physics and a master’s in theoretical physics at the University of Pisa. Then, in September 2025, a doctorate in theoretical physics at Old Dominion University in Norfolk. His doctoral work was spent under the aegis of ODU associate professor of physics Ted Rogers, delving deeper into hadronic structure — the composite subatomic particles that make up almost all visible mass in the universe — with the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility. Now, Rainaldi’s dissertation about that research has earned him the 2025 Jefferson Science Associates (JSA) Thesis Prize, a top honor for graduate students in nuclear physics. “When I was told I was awarded the prize, I finally felt that the research we have been doing so far means something, and people recognize it,” Rainaldi said. “I am sure there were a lot of talented people among the candidates, both theoreticians and experimentalists, and I cannot possibly know why they were not chosen. I can only say that my work tried to connect three different groups: the theoreticians, the experimentalists and the phenomenologists (sometimes these categories are not mutually exclusive). “But
Jul 28, 2026 · via newswise.com