Research
Scientific breakthroughs and academic studies
quantum-computingBlueQubit, IBM, and RIKEN Demonstrate Quantum R&D Potential
BlueQubit, alongside Qedma, IBM, and RIKEN, reports demonstrating a performance advantage for quantum computing by successfully predicting complex material behaviors where classical simulations failed. RIKEN expended over 500,000 CPU-core hours on the Fugaku supercomputer attempting to model sub-atomic oscillations, a task ultimately achieved with an error-mitigated quantum processor. This achievement suggests that practical quantum applications may arrive sooner than the previously expected timeframe of five to ten years, indicating that a quantum advantage is attainable now. “Proving true quantum advantage requires rigorous verification against the uppermost limits of classical computing,” said Hayk Tepanyan, BlueQubit co-founder and CTO. Floquet Ising Magnet Simulations Demonstrate Quantum Advantage Floquet Ising magnet simulations have revealed a demonstrable performance advantage for quantum computing, challenging expectations of a five-to-ten year timeline before practical applications emerge. Researchers from BlueQubit, Qedma, IBM, and RIKEN successfully predicted the behavior of these complex materials using error-mitigated quantum processors, a feat unattainable with current classical supercomputers. The study focused on the sub-atomic oscillations within Floquet Ising magnets, materials crucial for developing technologies such as room-temperature superconductors and improved electric vehicle batteries. These materials rely on a “prethermal” barrier to maintain stable oscillations, a property proving difficult to model accurately with classical methods. Despite these substantial efforts, classical approaches failed to consistently and reliably predict the material’s behavior. Qedma then deployed its QESEM error-mitigation software on IBM’s 156-qubit Heron processor, and independently validated the results using trapped-ion systems from Quantinuum, achieving percent-level accuracy without requiring millions of qubits or full error correction. This success hi
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quantum-computing54-Qubit Device Validates Noise-Resilient Optimization Framework
A 54-qubit IQM Emerald quantum device has validated a new optimization framework that achieves competitive solutions using a surprisingly shallow circuit depth. Researchers Elisabeth Wybo and a colleague developed Quantum-Informed Surrogate Sampling, or QISS, which leverages a quantum computer to generate “informative statistics for scalable classical sampling” rather than directly solving problems. The work demonstrates that QISS, using only O(N) low-order correlators from shallow circuits, can outperform the widely studied QAOA algorithm; specifically, on MaxCut problems with 3-regular graphs, QISS from p=3 QAOA correlators outperforms vanilla QAOA at p=17 on average. This approach, validated through experiments, suggests a path toward noise-resilient near-term quantum optimization. This performance is notable because a shallow circuit’s capacity can exceed a much deeper one through effective post-processing. The framework does not directly sample solutions using the quantum computer, but instead generates “informative statistics for scalable classical sampling,” a shift that may prove crucial for near-term quantum optimization. Validation on the IQM Emerald device further confirms QISS’s noise resilience, suggesting a viable path forward for practical quantum optimization strategies. The researchers report that further improvements are possible by using QISS to warm-start QAOA, potentially unlocking even greater performance gains. Researchers are shifting strategies in the pursuit of near-term quantum optimization, focusing on leveraging shallow circuits to enhance classical algorithms instead of relying on direct quantum sampling. The efficiency of QISS stems from its reliance on only O(N) low-order correlators, allowing it to achieve competitive results on problems like MaxCut and Maximum Independent Set. This approach, detailed in their recent paper, supports a model where shallow quantum circuits generate data for classical processing, offering a viable path
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quantum-computingQuantum Photons Survive a 24-Kilometer Journey Through Chicago’s Busy Internet
Researchers have shown that quantum entanglement can survive a journey through a busy metropolitan fiber network carrying powerful conventional data traffic. Credit: ShutterstockResearchers achieved the first real-world demonstration of quantum entanglement over a busy telecommunications fiber network.A single photon carrying quantum information had to travel more than 24 kilometers through an optical fiber already crowded with powerful internet signals. Despite the noise, it reached downtown Chicago still entangled with its partner at Northwestern University’s Evanston campus.Researchers successfully distributed entangled photons through 24.4 kilometers of installed fiber while the same cable carried high-capacity telecommunications traffic. The quantum connection retained more than 94% fidelity, showing that delicate quantum signals can survive alongside conventional data streams in existing infrastructure.The result points toward a practical way to develop quantum networks without laying entirely separate fiber systems.Published in Optica Quantum, the study is the first to demonstrate entanglement distribution between distant nodes through fiber simultaneously carrying modern commercial telecommunications traffic.“Quantum signals are very, very tiny compared to classical signals,” said Northwestern’s Prem Kumar, the study’s senior author. “It’s like an ant traveling through a path filled with elephants. Our results show that photons can survive the journey and remain entangled.”Kumar is a professor of electrical and computer engineering at Northwestern’s McCormick School of Engineering and director of the Center for Photonic Communication and Computing. Gina Talcott, a graduate student in Kumar’s research group, is the study’s first author.Quantum signals face overwhelming noiseToday’s internet represents information using bits with values of 0 or 1. Quantum networks instead use quantum states, including qubits in quantum computing, to process and exchange inform
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Quantum Computing’s “Dark Horse” Just Cleared a Major Hurdle
Researchers have shown that exotic quantum objects called non-Abelian anyons can support a complete set of operations for universal quantum computing. Credit: ShutterstockResearchers demonstrated that braiding and fusing particles known as non-Abelian anyons can perform every operation required by a quantum computer.A quantum computer becomes broadly useful only when it can perform any computation rather than a limited set of specialized tasks. Physicists have now demonstrated that unusual quantum objects called non-Abelian anyons can provide that versatility by supporting the full range of operations required for universal quantum computing.Researchers from the University of Chicago Pritzker School of Molecular Engineering (UChicago PME), Harvard, Stony Brook University and Quantinuum constructed and tested a complete computational toolkit based on non-Abelian anyons. Their experiments offer the first demonstration that this approach can support universal quantum operations.“We demonstrated a so-called universal gate set—meaning that if you store information in these emergent versions of quarks, and you move them around, you can do any quantum computation you might want to do,” said Ruben Verresen, assistant professor of molecular engineering at UChicago PME and a co-author of the new study published in Nature.The method could support both general-purpose quantum computing and more reliable machines. Quantum computers ordinarily protect information by distributing it across many physical qubits through error correction. However, those codes usually cannot perform every required operation directly on the protected information.Engineers often overcome that limitation with specially prepared resources called “magic states.” Producing them requires a demanding distillation process that can consume a substantial portion of a quantum computer’s available qubits. The findings indicate that non-Abelian anyons may provide a way around that expensive step.“Non-Abelian codes
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quantum-computingRydberg Quantum Spinwaves Last 9× Longer With New Addressing Scheme
Researchers at the Faculty of Physics, University of Warsaw and the Centre for Quantum Optical Technologies, Centre of New Technologies, University of Warsaw have achieved a nearly tenfold increase in the lifetime of Rydberg quantum spinwaves, overcoming a significant obstacle to their use in advanced quantum technologies. The team generated these collective Rydberg excitations using a novel multi-photon addressing scheme, shaping atomic energy levels into a configuration resembling the letter Ń to achieve near-zero momentum transfer. This approach directly addresses the rapid motional dephasing that previously limited integration with the Gradient Echo Memory (GEM) protocol, now enabling multiplexed storage and interaction of these spinwaves. The results reestablish compatibility between Rydberg excitations and GEM, providing a route toward multimode quantum memories with controllable long-range interactions and applications in quantum networking, sensing, and quantum information processing. Researchers at the Faculty of Physics, University of Warsaw and the Centre for Quantum Optical Technologies, Centre of New Technologies, University of Warsaw recently demonstrated this extension, directly addressing a long-standing limitation in harnessing these excitations for advanced applications. The team’s success hinges on a novel approach to generating collective Rydberg excitations, utilizing a multi-photon addressing scheme involving atomic levels shaped like the letter Ń. This configuration allows for the creation of excitations with near-zero momentum transfer, dramatically reducing motional dephasing. The core challenge previously lay in the rapid loss of phase coherence due to atomic motion; a large wavevector associated with typical Rydberg excitations meant even minute movements quickly disrupted the quantum signal, as the researchers explain in their published work. To circumvent this, the team implemented two additional off-resonant driving fields arranged to f
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quantum-computingEY Deploys On-Site Quantum Computing for Enterprise Transformation
EY is deploying on-site quantum computing capabilities, signaling a move beyond exploration to active implementation for its clients and a substantial investment in technology. This expansion, led by EY Canada, is part of a global investment exceeding US$3 billion in artificial intelligence and emerging technologies, providing dedicated access and control over application development and data management. “AI may be the defining technology platform of this decade, and quantum will ultimately expand its horizons,” says Raj Sharma, EY Global Managing Partner, Growth & Innovation. These new capabilities will refine quantum solutions and enable clients to gain practical experience with the technology. EY has committed over US$3 billion to artificial intelligence and technologies, establishing on-site quantum computing capabilities to move beyond research and directly serve client needs. This investment signals an intent to implement quantum solutions and builds upon recent quantum patent achievements. The firm is also bolstering its “Client Zero” approach, internally developing and rigorously testing quantum-enabled solutions before deployment for external clients. This strategy addresses growing concerns around data security and regulatory compliance, as owning the quantum system in-house offers advantages over cloud-based alternatives. EY’s expansion includes the launch of ey. ai, The Reimagination Engine, an AI-led technology system designed to facilitate enterprise-wide value realization, operating on the premise that “AI is only as valuable as the hands that shape it.” A key application is the transformation of Earth data into actionable business insights, as demonstrated by work with Xoople. Quantum computing has the ability to solve complex challenges that classical computing alone cannot address. Biren Agnihotri, EY Canada Chief Technology Officer This expansion, spearheaded by EY Canada, establishes dedicated access and greater control over application devel
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quantum-computingLov Grover, The Engineer Who Taught Quantum Computers To Search
Quantum PeopleLov GroverHe turned searching into a quantum advantage, giving the field one of its two founding algorithms.Grover’s algorithmBell LabsAmplitude amplificationQuadratic speedupIn this articleWho Lov Grover isEducation and early careerThe 1996 breakthroughHow the algorithm worksWhy the result is provably optimalGrover and Shor as the two pillarsLasting influence and recognitionWhy Lov Grover matters in quantum computingFrequently asked questionsLov Grover at a glanceBorn1961, Meerut, IndiaNationalityIndian-AmericanKnown forGrover’s algorithmYear invented1996WorkplaceBell Labs 1984 to 1987 and 1994 to 2008; Cornell 1987 to 1994; independent researcher sinceUndergraduateIIT Delhi, 1981Master’s degreesCaltech, electrical engineering; Stanford, physicsDoctorateStanford University, 1984SpeedupQuadratic, about square-root-of-NWho Lov Grover isLov Grover is an Indian-American computer scientist whose 1996 quantum search algorithm became one of the defining results of the field. He is remembered above all for a single, deceptively simple idea: that a quantum computer can find a marked item in an unsorted collection far faster than any classical machine can. That idea has echoed through nearly every part of quantum computing since.Born in 1961 in Meerut, India, Grover trained as an electrical engineer before turning his attention to the strange logic of quantum information. His work sits alongside the achievements of researchers like Peter Shor, and the two of them are routinely named as the authors of the quantum algorithms that started everything. Where Shor showed quantum machines could break cryptography, Grover showed they could search.A quiet revolution in searchWhat makes Grover distinctive is that his contribution did not require exotic structure in the problem being solved. Many quantum speedups depend on hidden periodicity or algebraic patterns, and they vanish the moment those patterns are absent. Grover’s result applied to the most generic task imagin
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quantum-computing3 Stocks Smart Quantum Computing Investors Are Buying
Quantum computing investing isn't at the forefront of most investors' minds right now. Artificial intelligence (AI) investing is. However, that makes it the perfect time to consider scooping up shares of companies involved in quantum computing, as you don't have to pay the premium that these stocks get priced with when the hype cycle swings in the positive direction. There are three quantum computing stocks that I'm excited about over the long term, and some of them are benefiting from AI tailwinds right now. I think that makes them smart investments, and if you're looking to increase your exposure to quantum computing before it arrives over the next few years, these three are genius buys. Image source: Getty Images. Alphabet Alphabet (GOOG +6.88%) (GOOGL +6.73%) is one of the legacy tech companies pursuing quantum computing. It makes a ton of sense, as it has to use other companies' products for traditional computing units, but if it can develop a quantum computing unit in-house, it can boost its margins. Undoubtedly, Alphabet would monetize this product through its cloud computing division, allowing users to access either traditional or quantum computing power. That could unlock a new growth wave for Google Cloud, but it doesn't really need it right now. AI demand is massive, causing Google Cloud's revenue growth rate to spike to 82% year over year. With Alphabet spending around $200 billion on data center capital expenditures this year, it will likely accelerate this growth rate for the foreseeable future as it burns through a $514 billion backlog. ExpandNASDAQ: GOOGLAlphabetToday's Change(6.73%) $22.47Current Price$356.13Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$4.4TMarket cap calculated using publicly traded shares outstanding only. Does not include unlisted, private, or dual-class non-traded shares. Implied market cap may vary.Day's Range$340.00 - $358.5852wk Range$190.12 - $408.61Volume46.5MAvg Vol32.5MGross Margin60.94%Dividend Yield0.24%
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quantum-computingCumulant Framework Analyzes Quantum Noise Beyond Standard Models
Rohan N Rajmohan of Northwestern University and colleagues from University of Chicago, Oak Ridge National Laboratory and IBM Quantum have developed a new framework for analyzing quantum noise that moves beyond standard models, revealing that the induced channel depends on which stabilizer eigenspace is chosen as the codespace. The researchers derive a tractable expression for the noise-averaged logical infidelity, accurately modeling error even when noise levels are high. This work reveals that, unlike traditional stochastic Pauli error models, the induced channel is affected by the selected codespace for encoding quantum information. Exploiting this discovery, the team introduces “PROSE” (Protected Stabilizer Eigenspace) encoding, a strategy for actively selecting the optimal codespace to suppress errors, and demonstrates that this eigenspace can be efficiently identified in many relevant situations; the results offer a new, broadly applicable lens on correlated coherent noise in stabilizer codes. Accurately predicting quantum error rates, even with substantial noise, represents a major step forward in building practical quantum computers. Researchers affiliated with the Department of Physics and Astronomy at Northwestern University, the University of Chicago, and IBM Quantum have derived a tractable expression for characterizing how correlated coherent errors impact stabilizer codes, offering a means to assess logical infidelity, a measure of how faithfully quantum information is preserved, without relying on approximations valid only for weak noise. This expression is non-perturbative, remaining accurate even as noise levels increase, a significant improvement over existing models. Demonstrating the practicality of PROSE, the team showed that this eigenspace can be efficiently identified in many relevant situations. Further analysis revealed that noise correlations, often assumed to be detrimental, can actually be harnessed; with the right encoding, even positive
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quantum-computingQuantum Computing Stocks To Keep An Eye On - August 1st - MarketBeat
Quantum Computing Stocks To Keep An Eye On - August 1st Written by MarketBeatAugust 1, 2026 ShareLink copied to clipboard. Image from MarketBeat Media, LLC. Key Points IonQ, D-Wave Quantum, Quantum Computing Inc., Quantinuum, and Horizon Quantum Computing are highlighted as quantum-computing stocks drawing significant recent trading interest. The companies span quantum-computing systems, cloud access, software, photonics, cybersecurity, sensing, and related technologies, reflecting the sector’s movement from research toward early commercial adoption. Investors should note the industry’s high volatility, uncertain profitability, and substantial technological risk, despite its long-term growth potential driven partly by rising demand for computing power from applications such as artificial intelligence. MarketBeat previews the top five stocks to own by September 1st. Quantum Earnings Could Decide Whether the Sector’s Sell-Off Has Gone Too FarIonQ, D-Wave Quantum, Quantum Computing, Quantinuum, and Horizon Quantum Computing Pte. are the seven Quantum Computing stocks to watch today, according to MarketBeat's stock screener tool. Quantum computing stocks are shares of publicly traded companies involved in developing quantum computers, quantum software, related hardware, or supporting technologies. For investors, these stocks represent exposure to a developing industry with potentially significant long-term growth, but they may also carry high volatility, uncertain profitability, and substantial technological risk. These companies had the highest dollar trading volume of any Quantum Computing stocks within the last several days. Get IonQ alerts:Sign UpIonQ (IONQ)IonQ, Inc. engages in the development of general-purpose quantum computing systems in the United States. It sells access to quantum computers of various qubit capacities. The company makes access to its quantum computers through cloud platforms, such as Amazon Web Services (AWS) Amazon Braket, Microsoft's Azure Q
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quantum-computingKalman Filter Reduces Magnetic Field Drift in Quantum Gas Experiments
Researchers have devised a new method for stabilizing magnetic fields in ultracold atom experiments by utilizing the atoms themselves as a magnetometer. The team, including scientists from Vilnius University and the National Institute of Standards and Technology, overcame limitations of conventional sensors, typically positioned several centimeters away from atomic systems, by employing a pair of measurements to determine magnetic field strength directly within the experiment. This procedure, demonstrated with rubidium 87, incorporates a Kalman filter that reduced long-term drift as high as approximately 70 nanotesla per hour, exchanging it for a slight increase in shot-to-shot variability. A technique allows for magnetic field stabilization within ultracold atom experiments, bypassing limitations of conventional sensors. Traditional magnetic field sensors, such as Hall probes, are typically positioned at least several centimeters away from the atomic system due to the magnetic fields they generate and physical limitations of the vacuum apparatus. This direct approach utilizes the ultracold atoms themselves as a magnetometer, employing a pair of measurements to determine the Zeeman splitting, and thus the magnetic field, of rubidium 87. The team developed expressions to quantify the balance between measurement noise, dynamic range, and potential atom loss during the process. This innovative method was demonstrated using partial-transfer absorption imaging, allowing for precise monitoring of the magnetic environment surrounding the atoms. This stabilization was achieved with a minimal increase in shot-to-shot variability, moving from 1.8(2) to 2.0(2) nanotesla. Source: http://link.aps.org/doi/10.1103/vpnl-xpj7 Stay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: Ivy Delaney Ivy Delaney has been working with neural networks and machine learning since the mid-nineties
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quantum-computingNRL’s Quantum Science Institute Coordinates Navy’s QIST Research
Adam Black, Ph. D., director of the U.S. Naval Research Laboratory’s Quantum Science Institute, is coordinating a focused effort to apply quantum technologies to future naval operations. The institute, formally established June 13, 2025, unifies NRL’s long-standing quantum expertise to advance navigation, sensing, secure communications and computing. Black emphasizes the importance of leveraging rapidly advancing private sector quantum computing technology, stating, “It’s very important that we are able to take advantage of this technology.” This coordinated research supports a national strategy outlined in Executive Order 14413 to accelerate quantum innovation and maintain a strategic technical advantage. Quantum Science Institute Coordinates Navy’s QIST Research The U.S. Naval Research Laboratory’s commitment to quantum information science and technology solidified with the formal establishment of its Quantum Science Institute on June 13, 2025, centralizing decades of expertise to propel naval applications. This move underscores a strategic prioritization of quantum advancements, focusing on practical implementations for future operations. Researchers at NRL are not solely focused on foundational science; they are actively translating quantum principles into technologies supporting future Navy missions, ranging from experimental research to technical validation and strategic analysis. NRL’s quantum sensing initiatives utilize the unique properties of quantum mechanical systems to create precise measurement tools. Ongoing efforts involving ultra-cold rubidium atoms aim to reduce navigation drift in shipboard demonstrations, offering resilience against GPS signal disruption. While private industry drives quantum computer development, NRL scientists are concurrently developing algorithms and applications tailored to Navy needs, exploring solutions for complex problems in logistics optimization, advanced materials, chemistry, fluid dynamics and weather prediction. Bla
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