HIPAA's Security Rule meets quantum risk: A renovation that needs one more fix Proposed changes to the HIPAA Security Rule mark the biggest update to healthcare data security in a decade, but while the rule acknowledges emerging quantum risks, it stops short of fully addressing them. Contributors: Isha Singh CIPP/E, CIPP/US Attorney In January 2025, the U.S. Department of Health and Human Services issued a notice of proposed rulemaking to update the Security Rule under the Health Insurance Portability and Accountability Act, the most significant overhaul of healthcare data security obligations since 2013. While encryption standards currently used to satisfy the rule may not hold beyond 2030, and the U.S. National Institute of Standards and Technology has already published replacements designed for a quantum computing future. Discussions around quantum computing often swing between "not in our lifetime" and "everything breaks tomorrow." The reality sits somewhere in between. It is not here yet in a way that disrupts cybersecurity, but it is close enough that decisions made today will determine whether sensitive personal data remains protected 10 or 20 years from now. This matters because healthcare data is unusually long-lived. A credit card number expires. A genomic profile, clinical trial dataset or decade-long patient record does not. That changes how we think about data security under the HIPAA Security Rule and its proposed update. What is quantum computing, and why does it matter here? Classical computers process information in binary, as either zero or one. Quantum computers use qubits, which can exist in multiple states simultaneously. This allows them, at sufficient scale, to solve certain mathematical problems exponentially faster than any conventional machine. Modern encryption relies on those problems being effectively unsolvable. That assumption underpins widely used algorithms such as RSA-2048, which protect electronic protected health information across healthcare systems. Quantum
May 1, 2026 · via iapp.org
Anna Grassellino, chief technology officer and associate laboratory director for the Technology Directorate at Fermi National Accelerator Laboratory, has been appointed to the U.S. Department of Energy’s Office of Science Advisory Committee, known as SCAC — a federal advisory body that provides independent advice on scientific priorities and strategies. Grassellino will also serve as chair of the SCAC quantum subcommittee. In that role, she will help guide national efforts toward DOE’s 2028 goal for error-corrected quantum computers capable of addressing major scientific challenges. The subcommittee is also charged with exploring partnership opportunities and leveraging resources across the broad U.S. quantum ecosystem. These can include unique capabilities at national labs, innovations emerging in the private sector and resources across other federal agencies. SCAC provides guidance to the DOE Office of Science on major scientific and technical issues, including emerging opportunities and cross-cutting initiatives. The quantum subcommittee will assess the current state of quantum information science and identify the key steps needed to advance the field at the national level. “Anna brings a combination of scientific excellence, technical vision and leadership in large-scale quantum initiatives,” Fermilab Director Norbert Holtkamp said. “We congratulate Anna on this very important appointment and will fully support the committees and her work.” Grassellino is an internationally recognized physicist and director of the DOE’s Superconducting Quantum Materials and Systems Center, a national quantum information science research center led by Fermilab. Her work has advanced superconducting technologies for both accelerators and quantum systems, including innovations that have enabled record performance and new capabilities in superconducting devices. “I am honored to serve on SCAC and to chair the quantum subcommittee,” Grassellino said. “This is an important opportunity to help define a clear path forward for quantum information science and to accelerate progress toward fault-tolerant quantum computing.” Fermi National Accelerator Laboratory
May 1, 2026 · via news.fnal.gov
Building useful quantum computers ‘in our direct line of sight’ Researchers say creation of startups suggests game-changing tech may be developing at faster pace than expected Mihir Bhaskar was a self-described “total nerd” in high school. He volunteered at a computer history museum and became obsessed with the hardware and how it all came to be: from abacuses to punch cards, vacuum tubes to personal computers. “I was really fascinated with the history of computing, the development of the semiconductor and transistors and things like that,” said Bhaskar, who received his Ph.D. in physics from Harvard in 2021. Over the past decade, Bhaskar and other grad students, postdocs, and professors have made strides in developing quantum computing, work that one day may land their devices in a museum display. The pace of their progress has already fostered three startups, a sign the game-changing technology may be developing ahead of expectations, researchers say. “I have never seen a science that is so ‘blue sky’ go out into the commercial sphere so quickly,” said Evelyn Hu, Tarr-Coyne Professor of Applied Physics and of Electrical Engineering. “Where are we now compared to where we thought we’d be in 2018? We are so much farther ahead than I think any of us could have imagined.” One of the three startups, LightsynQ, was co-founded in 2024 by Bhaskar to commercialize his doctoral research in quantum networking. The company was acquired last year by publicly traded IonQ, where Bhaskar is now senior vice president for research and development. Another, QuEra, was founded in 2018 by Mikhail Lukin, co-director of the Harvard Quantum Initiative in Science and Engineering, and Markus Greiner, George Vasmer Leverett Professor of Physics, with partners from Harvard and MIT. QuEra recently shipped its second commercial quantum computer — based on technology from their
May 1, 2026 · via news.harvard.edu
Quantum technology startup QMatter raises $1.2 million QMatter’s current focus is the life sciences market, working with pharmaceutical and biotechnology companies to accelerate R&D by enabling better simulation data and ultimately improving research outcomes. QMatter, a Boston- and London-based startup, has raised USD 1.2 million in pre-seed funding, led by 55 North, a pure-play quantum fund, with participation from XTX Ventures, Bellstate Oy and the Conception X Angel Syndicate. The company will use the capital to further develop and scale its quantum compression platform, QMatter said in a media release. QMatter’s current focus is the life sciences market, working with pharmaceutical and biotechnology companies to accelerate R&D by enabling better simulation data and ultimately improving research outcomes. In parallel, the company is generating high‑quality, physics‑informed data libraries, creating new opportunities for machine learning companies to train next‑generation AI models using previously unavailable, problem‑specific data, the media release said. QMatter’s quantum compression technology applies principles from quantum mechanics to reduce the size of a problem before it is run on a quantum or classical system. The approach is designed to extend what current, near-term and future quantum computers can handle, while also accelerating classical algorithms at every scale, from consumer hardware to large supercomputers. “QMatter compresses complex quantum problems to their essential core, ensuring solutions remain both accurate and useful,” said Dr. Alexis Ralli, Co-founder & CEO, QMatter. “By doing so, we unlock greater performance from today’s quantum hardware while broadening the problem landscape for future error-corrected machines.” “Quantum computing promises to be transformational for the hardest problems we face, but the full value remains unrealized due to real-world limitations that constrain the size of problems we can address today,” said Dr. Tim Weaving, Co-founder & CTO, QMatter. “This investment will support the continued development of our quantum compression platform.”
May 1, 2026 · via evertiq.com
BATAVIA, IL – The U.S. Department of Energy’s Fermi National Accelerator Laboratory (Fermilab) has signed a Cooperative Research and Development Agreement with Northern Illinois University, officially launching a collaborative, cutting-edge quantum science program for graduate students. The inaugural class will begin in the fall semester of 2026. Through this partnership, the two institutions will launch a Master of Science in Physics program with a specialization in quantum science and technology (QST). This new offering in the NIU Department of Physics will provide an interactive, hands-on educational experience for students interested in manipulating, fabricating and advancing tools and technologies that leverage key features of quantum mechanics — including superposition, entanglement and interference. Students will begin taking classes in fall 2026, and they will start their research with Fermilab in the summer of 2027. Officials from Fermilab and NIU met on April 29 to mark the milestone in their partnership. During the event, representatives toured Fermilab’s Superconducting Quantum Materials and Systems (SQMS) Center, which serves as a national hub for advanced research and innovation in quantum science and technology and will be an important resource for the new program. The tour was followed by a signing of the formal agreement, solidifying the institutions’ collaborative commitment to the innovative graduate program. The newly established specialization will offer graduate students formal instruction at the NIU and Fermilab campuses, with hands-on learning experiences at the SQMS Center. “We are thrilled to partner with NIU in educating the next generation of quantum scientists, right here in our backyard. Students in this program will learn tangible skills in quantum science, skills and experiences directly connected to Fermilab’s science goals, ultimately preparing them to become the next generation of subject matter experts in the field,” said Norbert Holtkamp, Fermilab director. The program is an innovative partnership of a
May 1, 2026 · via newsroom.niu.edu
The U.S. Department of Energy’s Fermi National Accelerator Laboratory (Fermilab) has signed a Cooperative Research and Development Agreement with NIU, officially launching a collaborative, cutting-edge quantum science program for graduate students. The inaugural class will begin in the fall semester of 2026. Through this partnership, the two institutions will launch a Master of Science in Physics program with a specialization in quantum science and technology (QST). This new offering in the NIU Department of Physics will provide an interactive, hands-on educational experience for students interested in manipulating, fabricating and advancing tools and technologies that leverage key features of quantum mechanics — including superposition, entanglement and interference. Students will begin taking classes in fall 2026, and they will start their research with Fermilab in the summer of 2027. Officials from Fermilab and NIU met on April 29 to mark the milestone in their partnership. During the event, representatives toured Fermilab’s Superconducting Quantum Materials and Systems (SQMS) Center, which serves as a national hub for advanced research and innovation in quantum science and technology and will be an important resource for the new program. The tour was followed by a signing of the formal agreement, solidifying the institutions’ collaborative commitment to the innovative graduate program. The newly established specialization will offer graduate students formal instruction at the NIU and Fermilab campuses, with hands-on learning experiences at the SQMS Center. “We are thrilled to partner with NIU in educating the next generation of quantum scientists, right here in our backyard. Students in this program will learn tangible skills in quantum science, skills and experiences directly connected to Fermilab’s science goals, ultimately preparing them to become the next generation of subject matter experts in the field,” said Norbert Holtkamp, Fermilab director. The program is an innovative partnership of a state university with a U.S.
May 1, 2026 · via niutoday.info
Normally, when you design an electronic gadget, you worry about how hot it will get. Automotive-grade components, for example, often have higher allowable temperatures than commercial parts. However, extremely cold environments, such as deep space or the interiors of quantum computers, are also challenging. Researchers at King Abdullah University of Science and Technology believe gallium oxide may be key to operating near absolute zero.
According to [Vishal Khandelwal], one of the researchers, most conventional electronics fail below -173C or 100K. Quantum computers routinely operate at 4K. However, β-Ga2O3 is a wide-bandgap semiconductor that has low current leakage and works at high temperatures up to 500C. However, it also avoids the freeze-out effect that traps electrons in other semiconductor materials.
The team built two devices from the material seeded with a silicon dopant. The first was a FET with a fin-shaped geometry. The second was an inverter. Both operated reliably down to 2K.
Gallium oxide has many interesting properties. For that matter, so does gallium.
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May 1, 2026 · via hackaday.com
Mind the Gaps: Quantum Optimization for Efficient Electric and Autonomous Freight Dispatch with IonQ and Einride The shift to electric freight is accelerating, and its economics hinge on a planning problem that conventional routing software was not designed to handle. Research conducted by Einride, a technology company building the infrastructure for electric and autonomous freight, alongside Fraunhofer and Rewe, found that optimizing electric fleet operations from the ground up reduced fleet-level total cost of ownership by 8–13%, compared to roughly 3% for straightforward 1:1 replacement of diesel trucks with EVs. Electric fleets introduce charging schedules, energy constraints, and route interdependencies that make planning substantially more complex than conventional trucking. That complexity, managed well, is where the economic advantage lives. That optimization advantage depends entirely on how well the plan holds, and how well the system recovers when it doesn't. Einride operates its fleet through Saga, an AI-powered platform that connects vehicles, infrastructure, and data to manage freight operations at scale. Shipment cancellations are a daily feature of large-scale logistics, leaving idle gaps in pre-optimized vehicle schedules that directly erode the fleet utilization rates that make electric freight economically viable. Einride's fleet operations team deals with them continuously, using its Electric Vehicle Routing Problem (E-VRP) solver to slot in replacement shipments from a waiting pool. Each gap carries hard constraints: vehicle charging limits, driving time regulations, time windows, and driver shift boundaries. The solver is fast and effective for individual gaps. What it does not naturally account for is the interaction between gaps on different vehicles: how two replacement shipments assigned to nearby routes might conflict operationally, create scheduling dependencies downstream, or compound risk across the fleet when executed together. That interaction between concurrent assignments is where classical gap-filling solvers are structurally limited, and where the quantum formulation is specifically designed
May 1, 2026 · via ionq.com
On April 14, Nvidia released open-source artificial intelligence models called Ising, designed to address two major engineering challenges in quantum computing: processor calibration and real-time error correction. By targeting key barriers to scaling quantum systems for AI, Nvidia’s move boosted confidence in the field’s potential. Following the announcement, Xanadu’s stock surged about 250% to a peak of $32.67 per share. Before that, it had traded below $10 since going public in March. The stock closed just under $8 in the session before Nvidia’s announcement, according to financial site The Street. With a 15.6% stake, Weedbrook’s net worth jumped to around $1.5 billion within five days, Bloomberg reported. Although the share price has since eased, it remains more than double its pre-announcement level. | Christian Weedbrook, founder of quantum computing firm Xanadu. Photo from X | Weedbrook’s path to billionaire status is unusual even in the tech industry. Born and raised in bushland southeast of Brisbane, Australia, he initially aimed to become a filmmaker but dropped out of film school twice. At 23, while working part-time in a video store and stocking groceries, he decided to go back to school and study mathematics, a subject he had performed well in during high school. "I’d exhausted every other option," Weedbrook, 49, told Canada’s The Globe and Mail. "I thought ‘I’ll just go back to something I was okay in – math. I don’t know where this will head, I’ll just see.’" At the University of Queensland, where he enrolled, administrators were skeptical. One dean even asked to check his arms for track marks, suspecting drug use. The decision to enroll proved pivotal, as the university was a leading center for quantum optics, the study of how light behaves at extremely small scales. Weedbrook later earned a doctorate in physics specializing in quantum
May 1, 2026 · via e.vnexpress.net
The University of Utah convened faculty, students, postdoctoral scholars, industry partners, and national leaders in science and engineering for its Quantum Science & Technology Symposium on April 24 in the Crocker Science Center. The daylong event highlighted the university’s growing momentum in quantum research and its commitment to building interdisciplinary collaborations in one of the most strategically important fields of the 21st century. Collaboratively organized by the Office of the Executive Vice President for Academic Affairs, the Office of the Vice President for Research, the College of Science, the John and Marcia Price College of Engineering, and the Quantum Research Working Group, the symposium brought together experts spanning quantum chemistry, quantum physics, and quantum engineering. The program was designed to connect the University of Utah community with world-leading researchers while accelerating new opportunities for discovery and partnership. Quantum science focuses on the behavior of matter and energy at the atomic and subatomic level, where particles can exhibit properties unlike anything seen in everyday life. Those phenomena are enabling new generations of technologies—from ultra-secure communications and powerful new computers to advanced sensors, precision timing systems, and novel materials with transformative commercial and national security applications. “Quantum science is reshaping what’s possible, driving new frontiers in innovation, strengthening our economy, and advancing national security. For Utah, this is a moment to lead,” said Taylor Randall, president of the University of Utah, “We are bringing together talent, partnership, and discovery to help define this next era and translate it into real impact for our state and beyond.” The symposium featured keynote presentations from three distinguished scholars: Ashok Ajoy of the University of California, Berkeley; Andrea Young of the University of California, Santa Barbara; and Scott Diddams of the University of Colorado Boulder. Their talks highlighted major advances in quantum sensing, advanced materials, precision
Apr 30, 2026 · via research.utah.edu
Groove Quantum, a Delft-based quantum computing startup developing scalable germanium spin-qubit processors, has raised €16 million in combined funding and unveiled an 18-qubit semiconductor spin-qubit processor, which the company says is the largest of its kind ever built. The round includes €10 million in equity co-led by Innovation Industries and 55 North, with participation from Verve Ventures and the European Innovation Council Fund. The remaining €6 million comes through grants from the EIC Accelerator programme and the EU Chips Act funding programme. “Quantum computing will only have real impact if it can be engineered and manufactured at scale. With this funding and our 18-qubit prototype, we’ve shown that semiconductor spin qubits are not just a promising idea. They are ready to scale rapidly, and we believe our approach gives us the best shot at reaching the million-qubit systems that will change the world. “We are building technology to be produced and deployed at global commercial scale, just as every substantial semiconductor technology before us,” says Dr Anne-Marije Zwerver, CEO and Co-founder of Groove Quantum. A quick analysis of 2026 activity shows several comparable quantum and adjacent DeepTech funding announcements alongside Groove Quantum’s €16 million raise. - Delft-based Orange Quantum Systems / OrangeQS raised €15 million to scale quantum chip testing infrastructure, making it the most directly comparable example by both geography and sector, as it is also based in Delft, Netherlands. - Dublin-based Equal1 closed a €51 million round to scale silicon-based quantum computing - Espoo-based IQM Quantum Computers secured €50 million to support quantum technology development and market expansion. In adjacent quantum-enabling hardware: - Münster-based Pixel Photonics raised €13.5 million to accelerate market entry for superconducting single-photon detector technology - Lausanne-based Rhonexum raised €867.5k to advance cryogenic electronics for scalable quantum computing - Tampere-based Vexlum raised €10 million to
Apr 30, 2026 · via bebeez.eu
IonQ has published a detailed blueprint for a fault-tolerant quantum computer, outlining a design it says could move the field beyond its current experimental limits and into practical use. The architecture, described in an arXiv preprint earlier this month by researchers including Felix Tripier and Nicolas Delfosse, lays out a full-stack system capable of running millions of quantum operations on hundreds of logical qubits. The company argues that its design relies only on hardware techniques already demonstrated in laboratories, positioning it as a near-term engineering challenge rather than a distant theoretical goal. Currently, most quantum computers fall into the category of noisy intermediate-scale quantum (NISQ) devices. These systems can perform thousands of operations, but errors accumulate quickly. Consequently, they struggle to solve problems of industrial or scientific importance. The IonQ team proposes a different approach. Instead of simply increasing qubit counts, it restructures the entire system architecture. Additionally, it integrates error correction, computation and hardware control into a unified design. At the core of the issue lies quantum noise. Every operation on a qubit introduces a small chance of error. Over time, these errors compound and degrade results. Fault-tolerant systems address this limitation by encoding information across many physical qubits. In this framework, a single logical qubit spreads its information across multiple physical units. Consequently, the system can detect and correct errors before they cascade. IonQ’s blueprint uses quantum low-density parity-check codes, or LDPC codes, to achieve this. These codes rely on sparse connections between qubits. As a result, they require fewer physical qubits than older approaches such as surface codes. Read more: IonQ sparks Italy’s quantum renaissance through Q-Alliance partnership Read more: IonQ closes Skyloom acquisition to accelerate quantum-secure networking push Architecture includes processes for distillation Additionally, the architecture introduces specialized components to manage quantum resources. One of these
Apr 30, 2026 · via mugglehead.com
Scientists have achieved a major step toward chip-scale ultraviolet light by converting red light into powerful UV within a tiny photonic device. Ultraviolet light, beyond what comes naturally from the sun, plays a central role in modern technology, including sterilization, biological imaging, and chip manufacturing. Researchers also expect tiny sources of UV light on photonic chips to support future advances in quantum computing and ultra-precise atomic clocks. However, shrinking UV light sources to the chip scale has proven difficult because this light quickly loses strength as it travels through optical waveguides, limiting practical designs until now. A Harvard-led team from the lab of Marko Lončar, the Tiantsai Lin Professor of Electrical Engineering, has demonstrated a micron-scale photonic device built on thin-film lithium niobate that produces about 100 times more UV light on a chip than earlier methods. The study, published in Nature Communications, highlights lithium niobate as a promising platform for compact, efficient, and high-power UV generation. Instead of trying to directly guide UV light, the device generates it internally by converting red light into UV. This process, called frequency upconversion, combines two red photons inside the lithium niobate crystal, which is highly efficient at frequency conversion, to produce a single higher-energy UV photon. “Our group is perhaps best known for utilizing lithium niobate for photonic devices that operate at longer, infrared wavelengths – closer to the realm of telecommunications signals,” Lončar said. But he added that this transparent crystalline material, already widely used in integrated photonics, can also guide and generate shorter wavelengths such as UV. “When people think about [thin-film lithium niobate], they don’t think of it as a UV material, but we show that it is,” said co-first author Kees Franken, former research fellow in the Lončar lab. “We also show that there are some other nonlinear
Apr 30, 2026 · via scitechdaily.com
PsiQuantum Appoints Lip-Bu Tan to Board of Directors Published Thursday, April 30, 2026 | 9 a.m. Updated Thursday, April 30, 2026 | 9:01 a.m. PALO ALTO, Calif.--(BUSINESS WIRE)--Apr 30, 2026-- PsiQuantum today announced that Lip-Bu Tan, a leader of the semiconductor industry and Chief Executive Officer of Intel Corporation, has joined the PsiQuantum Board of Directors. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260430576344/en/ (L-R) Lip-Bu Tan, the newest member of PsiQuantum's Board of Directors, with Victor Peng, PsiQuantum's Interim Chief Executive Officer, at the company's test and assembly facility in Milpitas, California. Tan brings decades of experience building and scaling the foundational technologies that underpin modern computing. Before his 2025 appointment as CEO of Intel, he previously served as Chief Executive Officer of Cadence Design Systems, where he transformed the company into a global leader in electronic design automation—the software and tools used to design the world’s most advanced chips. Across his career as an executive, investor, and board member, Tan has played a central role in shaping the modern semiconductor ecosystem. He has served on numerous public and private boards, serves as Chairman of Walden International, and is a founding managing partner of Walden Catalyst Ventures and Celesta Capital. Tan’s appointment to the PsiQuantum Board of Directors comes as the company drives toward building the world’s first utility-scale, fault-tolerant quantum computers and continues to advance and scale its silicon photonics platform. “I’ve known the PsiQuantum team for many years as an investor and have followed their progress closely as they’ve built one of the most compelling and differentiated approaches in quantum computing,” said Lip-Bu Tan . “The technology they’ve developed is exceptional, and their focus on fault-tolerant systems that can be manufactured at scale using the semiconductor industry sets them apart. I’m excited to join
Apr 30, 2026 · via lasvegassun.com
Meta has already begun preparing for the threats posed by quantum computing and migrating its systems to post-quantum cryptography, a complex process that will take multiple years to complete. In a recent article, Meta researchers outline their strategy and share key lessons learned along the way. Meta describes its migration process as a far-reaching transformation of infrastructure, standards, and engineering practices across the entire organization. To track progress, they defined a five-level maturity model, from PQ-unaware to PQ-enabled, with the latter representing the ultimate goal of full quantum-resistant protection. Each level along the scale brings incremental protection. At the PQ-aware level, a company has assessed its usage of cryptography and understands what it takes to reach the next level, PQ-ready. PQ-readyness marks the beginning of the migration even if post-quantum secure solutions are not yet fully enabled. While this is not ideal, it would still make the company faster in reacting once an actual threat materializes. The strategy suggested by Meta's researchers is defined as a sequence of steps, beginning with prioritization. Companies should rank applications based on their vulnerability. In particular, systems that rely on public-key encryption and key exchange mechanisms are considered high priority, as these primitives are especially vulnerable in a post-quantum world. Among high-risk applications, we differentiate the ones that have no external dependencies (can be migrated right away), from the ones that have external dependencies and thus may need to wait until these dependencies are resolved. Medium- and high-priority applications are those that would only become vulnerable once actual quantum computer are available in the future. Among these, attacks on symmetric cryptography are considered low priority due to their substantial resource requirements (typically associated with brute-force Grover’s attacks, while applications relying on digital signatures are generally classified as medium priority Other steps in the process
Apr 30, 2026 · via infoq.com
NVIDIA has announced a new family of open models called NVIDIA Ising, designed to address quantum processor calibration and quantum error correction. These are two of the main engineering challenges limiting the scalability of current quantum systems, where noise and instability in qubits reduce the reliability of computations. The Ising models are intended to automate parts of this process using machine learning, enabling faster calibration cycles and more efficient decoding of quantum errors during execution. The Ising family includes two main components. The calibration model is a vision-language system that interprets measurement data from quantum hardware and adjusts parameters in near real time, reducing manual intervention and shortening calibration cycles. The decoding models are based on 3D convolutional neural networks that process error syndromes for quantum error correction, with variants optimized for either latency or accuracy. According to NVIDIA, these models can outperform existing approaches such as pyMatching in both speed and accuracy, enabling more practical real-time error correction workflows. The models are released as open source and can be deployed locally or adapted to specific quantum hardware setups. NVIDIA is also providing supporting datasets, workflow examples, and NIM microservices to help developers integrate and fine-tune the models. The system integrates with CUDA-Q for hybrid quantum-classical programming and NVQLink for connecting quantum processors with GPUs, allowing error correction and control loops to run alongside classical compute workloads. Compared with other approaches in the quantum ecosystem, NVIDIA Ising reflects a shift toward using general-purpose AI models for control and error correction rather than relying solely on physics-based or heuristic methods. Traditional tools like pyMatching and other decoding libraries are highly optimized but typically static, requiring manual tuning for different hardware topologies. In contrast, Ising uses learned models that can adapt to different noise patterns and system configurations. Other vendors, including IBM
Apr 30, 2026 · via infoq.com
- United States - / - Semiconductors - / - NasdaqCM:RGTI A Look At Rigetti Computing (RGTI) Valuation After Its Planned US$100 Million UK Quantum Expansion Rigetti’s UK quantum expansion draws fresh attention to the stock Rigetti Computing (RGTI) is back in focus after outlining plans to invest up to US$100 million in the United Kingdom to install a quantum computer targeting more than 1,000 qubits. See our latest analysis for Rigetti Computing. The UK expansion headlines arrive after a mixed run in the stock, with a 14.53% 1 month share price return sitting against a 31.86% year to date share price decline, while the 1 year total shareholder return of 75.93% points to strong longer term momentum. If this quantum build out has you thinking about where else breakthroughs might show up first, it could be worth scanning 26 quantum computing stocks With Rigetti’s shares sitting well below the average analyst price target and recent returns sending mixed signals, you now have to ask: is this quantum story on sale, or is the market already pricing in future growth? Most Popular Narrative: 34.4% Undervalued With Rigetti shares at $16.08 and the narrative fair value at $24.50, the story centers on a sizeable gap between price and what the narrative suggests. The trajectory of quantum computing, particularly in the context of Rigetti Computing and the Quantum Benchmark Testing System (QBTS), could witness significant shifts. Trump's emphasis on "America First" policies might lead to increased funding for public private partnerships and The Defense Advanced Research Projects Agency (DARPA)'s R&D works in critical technologies, including quantum computing, as part of national security and technological supremacy initiatives. According to LongTermer, this valuation leans heavily on rapid revenue expansion, a future profit margin inflection and a premium earnings multiple. It may be useful to
Apr 30, 2026 · via simplywall.st
As quantum computers advance, they’re expected to be able to break tried-and-true security schemes that currently keep most sensitive data secure from attackers. Scientists and policymakers are working to design and implement post-quantum cryptography to defend against these future attacks. MIT researchers have developed an ultra-efficient microchip that can bring post-quantum cryptography techniques to wireless biomedical devices, such as pacemakers and insulin pumps. Such wearable, ingestible, or implantable devices are usually too power-constrained to implement these computationally demanding security protocols. Their tiny chip, which is about the size of a very fine needle tip, also includes built-in protections against physical hacking attempts that can bypass encryption to steal user data, such as a patient’s social security number or device credentials. Compared to prior designs, the new technology is more than an order of magnitude more energy-efficient. In the long run, the new chip could enable next-generation wireless medical devices to maintain strong security even as quantum computing becomes more prevalent. In addition, it could be applied to many types of resource-constrained edge devices, such as industrial sensors and smart inventory tags. “Tiny edge devices are everywhere, and biomedical devices are often the most vulnerable attack targets because power constraints prevent them from having the most advanced levels of security. We’ve demonstrated a very practical hardware solution to secure the privacy of patients,” says Seoyoon Jang, an MIT electrical engineering and computer science (EECS) graduate student and lead author of a paper on the chip. Jang is joined on the paper by Saurav Maji PhD ’23; visiting scholar Rashmi Agrawal; EECS graduate students Hyemin Stella Lee and Eunseok Lee; Giovanni Traverso, an associate professor of mechanical engineering at MIT, a gastroenterologist at Brigham and Women’s Hospital, and an associate member of the Broad Institute of MIT and Harvard; and senior author
Apr 30, 2026 · via todaysmedicaldevelopments.com
A delegation from VTT at the Quantum Australia Conference to discuss potential areas of collaboration with Australia’s national science agency, CSIRO, under VTT’s new ‘Quantum Leap’ project. The Quantum Leap project will focus on the practical implementation of quantum computing, including quantum software, error correction and mitigation, and components to make quantum computers more energy efficient, reliable and scalable. Anu Kärkkäinen, Research Manager at VTT, said that an essential part of the Quantum Leap Project is about building strong networks with global quantum communities: “Quantum technologies are anticipated to provide unprecedented advances in computing, sensing and communications, with the potential to transform business and society globally. By joining forces with CSIRO, VTT aims to accelerate the development and real-world impact of quantum solutions. Collaboration is key to finding new opportunities." CSIRO’s Dr Anthony Chesman said they were looking forward to continuing discussions with VTT and other Finnish partners through the Quantum Leap Project. “Through collaborative opportunities, CSIRO seeks to accelerate implementation and adoption and deliver practical quantum advantage outside the lab,” he said. “Working with partners who have complementary infrastructure and expertise helps us learn faster and reduce duplication, which is critical in a fast-moving field like quantum. “A partnership with VTT Technical Research Centre of Finland would provide a practical way to connect people across our ecosystems,” Dr Chesman said. In addition to the discussions in Australia, VTT has also brought several Finnish organisations into the project including Tampere and Jyväskylä Universities and quantum companies: IQM, SemiQon, Neste, Vexlum and Quanscient. VTT’s Quantum Leap project will include research exchanges, joint workshops, white papers, industry-focused dissemination events and scientific publications. These activities are intended to support knowledge transfer, ecosystem development and the identification of new industrial use cases. VTT’s quantum work VTT provides the project with its manufacturing facilities and
Apr 30, 2026 · via vttresearch.com
The UK’s most powerful quantum computer, which will accelerate research and discovery in quantum science, engineering, and a range of other applications, will be based at the University of Cambridge as part of a new partnership with the quantum technology company IonQ. The collaboration is the University’s largest-ever corporate research partnership. The partnership will support the creation of the IonQ Quantum Innovation Centre to be based at the Ray Dolby Centre, the new home of Cambridge’s Cavendish Laboratory. The Centre will house a state-of-the-art IonQ 256-qubit quantum computer, which will be the most powerful quantum computer in the UK when it is installed. As part of the collaboration, Innovate UK, the UK’s innovation agency and part of UK Research and Innovation (UKRI), will provide access and computing time for UKRI’s National Quantum Computing Centre over three years. This support will enable researchers and early-stage companies from across the UK to make use of the enormous power of the first commercial-scale quantum computer at a UK university. The new IonQ Quantum Innovation Centre will host a research portfolio across quantum computing, quantum networks, quantum sensing, and quantum security. The partnership will also support new academic positions, postdoctoral fellows and PhD students at the University. “Cambridge is already a critical player in the UK’s national quantum technology programme, and this partnership will supercharge that role,” said Professor Mete Atatüre, Head of the Cavendish Laboratory. “This is a true partnership, with long-term investment, shared research and co-development in all areas of quantum technology, bringing together physics, engineering, medicine, computer science, policy and more.” Quantum computers harness quantum phenomena to achieve a level of performance which is otherwise unattainable, based on science which cannot be explained by classical physics. The shift from lab-scale quantum computers to truly application-focused systems could greatly accelerate the pace
Apr 30, 2026 · via enterprise.cam.ac.uk