IonQ has given quantum computing something investors have waited years to see: revenue that is large enough to test, compare and challenge. Quantum computing has spent most of its public life as a promise. IonQ is trying to change that with numbers. The company passed $130 million in 2025 revenue, then followed it with $64.7 million in first-quarter 2026 revenue, giving the market a clearer way to judge whether quantum is becoming a business or still living mostly on technical ambition. That distinction matters. Investors can tolerate long product cycles when they can see customers, backlog and repeatable demand forming underneath the story. They are much less forgiving when a sector asks for patience without evidence. IonQ, listed on the NYSE under IONQ, now sits at the center of that test because it is one of the few public companies where quantum progress can be measured in quarterly revenue, guidance and remaining performance obligations. According to IonQ's May 6 earnings release, the company reported $64.7 million in first-quarter revenue, up 755% year-on-year, and raised its 2026 revenue guidance to between $260 million and $270 million. Remaining performance obligations reached $470 million, up 554% from a year earlier. These are not small signals in a market where many competitors are still judged by research milestones, grant funding and product roadmaps. IonQ's 2025 result was the first real break in the old quantum narrative. The company reported $130 million in annual GAAP revenue, up 202% from the prior year, and said it became the first public quantum company to cross $100 million in annual GAAP revenue. For a sector often compared with early semiconductors or early cloud computing, that number gives analysts a starting point. It does not prove that quantum computers are ready to replace classical systems. That is not the
Jun 5, 2026 · via startupfortune.com
Quantum information science and technology (QIST) is a central emerging area in technology policy. QIST includes technologies we already know and use: lasers, magnetic resonance imaging, and atomic clocks. Quantum computing is a new horizon for QIST. It has attracted multi-billion-dollar investments as researchers, companies, and governments race to develop the first scalable, fault-tolerant quantum computers – computers that can solve currently impossible problems, from abstract mathematics to chemical engineering. These technologies pose new risks to our cybersecurity infrastructure, with data privacy and national security implications. With such high stakes, quantum computing deserves close attention from policymakers. SIIA has developed The Quantum Moment, a new white paper that provides both a working framework accessible to policy makers and highlights issues and proposals for the development of quantum computing. What is a Quantum Computer, anyway? In a 1981 paper, the eminent physicist Richard Feynman asked, “What kind of computer are we going to use to simulate physics?” Simulating physics is important for everything from learning about the universe to building planes to developing new drugs. But there’s a problem: as the simulation gets more complicated, the simulation overwhelms the capabilities of classical computers. Classical computers, as Feynman puts it, “would require exponentially explosive growth.” Douglass Adams’ The Hitchhiker’s Guide to the Galaxy provides the possibility of a “computer as big as all creation,” a comical stand-in for the size of a classical computer Feynman is suggesting. The Math Bit: If we want to simulate quantum mechanics, then we have to simulate probabilities. Feynman stipulates a threshold for the minimal probabilities that we care about in our simulation; call the number of possible states N, and the number of particles R. We need to represent N states of R particles, which would NR representations. Feynman points out that R is going to
Jun 5, 2026 · via siia.net
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Quantum computers edge toward industrialization Recent investments in the U.S. and Europe aim to boost production, but the industry still faces scalability, error correction and software challenges. Quantum technology is edging closer to industrialization as national governments commit billions to scale the technology, while hardware and software providers — sometimes with the support of enterprise customers — push toward useful systems. In May, the U.S. federal government unveiled a program earmarking $2 billion in planned funding to nine quantum computing companies. The U.K. government in March launched a £2 billion quantum innovation effort to rollout quantum computers at scale. Other countries are also investing in their national quantum ecosystems. The moves signal a push to make quantum a practical computing tool, with quantum processing units eventually taking their place in data centers alongside CPUs and GPUs. But while quantum's arrival might seem inevitable, the technology still faces significant obstacles. The Department of Commerce announcement outlining the U.S. government's quantum investment strategy cited "unresolved engineering problems." Industry executives, meanwhile, cited manufacturability, technical hurdles such as quantum error correction (QEC) and software as areas of focus. David Mooter, principal analyst at Forrester, noted that uncertainty remains, even as quantum technology appears poised for industrialization. However, he's become more optimistic about quantum technology over the past couple of years. He pointed to the Electronic Numerical Integrator and Computer (ENIAC), the first programmable electronic computer, built in the 1940s, as an analogy for quantum's current state. "We're still in the pre-ENIAC phase; we're still a ways off," Mooter said. "But I feel like the endgame is in sight, because we are now in the engineering phase rather than just the scientific theorizing phase." Boosting manufacturability Making quantum easier and cheaper to manufacture is on the minds of quantum technologists worldwide. Boosting production capacity is
Jun 5, 2026 · via informationweek.com
Abstract Quantum approximate optimization algorithm (QAOA) has shown promise in solving combinatorial optimization problems by providing quantum speedup on near-term gate-based quantum computing systems. However, QAOA faces challenges for high-dimensional problems due to the large number of qubits required and the complexity of deep circuits, limiting its scalability for real-world applications. In this study, we present a distributed QAOA (DQAOA), which leverages distributed computing strategies to decompose a large computational workload into smaller tasks that require fewer qubits and shallower circuits than are necessary to solve the original problem. These sub-problems are processed using a combination of high-performance and quantum computing resources. The global solution is iteratively updated by aggregating sub-solutions, allowing convergence toward the optimal solution. We demonstrate that DQAOA can handle considerably large-scale optimization problems (e.g., 1000-bit problem), achieving a high solution quality and short time-to-solution, outperforming existing strategies. Furthermore, we realize DQAOA on a quantum-centric supercomputing architecture, paving the way for practical applications of gate-based quantum computers in real-world optimization tasks. To extend DQAOA’s applicability to materials science, we further develop an active learning algorithm integrated with our DQAOA (AL-DQAOA), which involves machine learning, DQAOA, and active data production in an iterative loop. We successfully optimize photonic structures using AL-DQAOA, indicating that solving real-world optimization problems using gate-based quantum computing is feasible. We expect the proposed DQAOA to be applicable to a wide range of optimization problems and AL-DQAOA to find broader applications in material design. Similar content being viewed by others Acknowledgements The authors thank the Materials Science Working Group for useful discussions. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. This material is based upon work supported by
Jun 5, 2026 · via nature.com
Abstract Error mitigation techniques, while instrumental in extending the capabilities of near-term quantum computers, often suffer from exponential resource scaling with noise levels. To address this limitation, we introduce a novel approach, namely, constant runtime error mitigation by restricted evolution (EMRE). Through numerical simulations, we demonstrate that EMRE surpasses the performance of Probabilistic Error Cancellation (PEC) while maintaining constant sampling overhead. The constant sampling overhead comes at the cost of a small non-zero bias. We provide a methodology to compute the optimal bias by connecting it to a resource-theoretic measure. We also evaluate bounds on the bias under different noise models and give exact results for the case of depolarizing and dephasing noise. Using these exact results, we derive an even more efficient strategy to implement EMRE. Additionally, we introduce Hybrid EMREs (HEMREs), a continuous family of error mitigation protocols that encompass PEC and EMRE as special cases. HEMREs offer a tunable bias parameter, enabling a trade-off between sample complexity and error reduction. The numerical evidence suggests the scalability and practicality of our proposal. Hence, our error mitigation protocols provide flexibility in balancing error mitigation with computational overhead, catering to practical application requirements of near-term and early-fault tolerant quantum devices. Similar content being viewed by others Acknowledgements We would like to thank Zhenyu Cai, Suguru Endo, Abhinav Kandala, Ying Li and Zlatko Minev, for helpful discussions. We thank our management executives- Kevin Ferreira, Yipeng Ji, Paria Nejat of LG Electronics Toronto AI Lab for their constant support throughout this work. Last but not least, we are grateful to Euwern Teh of LG Electronics Toronto AI Lab for showing us how to draw beautiful quantum circuits. Throughout our numerical computations, we used the open-source software Mitiq58 to deploy PEC in circuits. No funding was received for this research. Author information Authors
Jun 5, 2026 · via nature.com
Chandan Sarma and Paul Stevenson at University of Surrey have developed a qubit-efficient variational algorithm, comparing three distinct qubit-mapping strategies within the Variational Quantum Eigensolver (VQE) approach. Their algorithm, focused on the nuclei 10B and 12C, shows that a Slater determinant to qubit mapping achieves the most accurate results on quantum hardware, with a 0.21% error for the ground state of 10B following error mitigation. The algorithm offers a pathway to scaling VQE algorithms for increasingly complex nuclei, potentially advancing our understanding of nuclear physics through quantum computation. Boron-10 and carbon-12 ground state energies calculated with unprecedented quantum precision Error rates in calculating the ground state of the 10B nucleus have fallen to 0.21 per cent, a substantial improvement over previous results of 3.37 and 8.88 per cent achieved with alternative quantum computing strategies. Previously unattainable due to the limitations of classical computational power, this level of precision was attained using a Slater determinant to qubit mapping within the Variational Quantum Eigensolver approach. Simulating the behaviour of even relatively simple atomic nuclei demands immense processing resources, stemming from the many-body problem inherent in quantum chromodynamics and the strong nuclear force. The shell model, a quantum mechanical model describing the structure of the atomic nucleus, provides a framework for these calculations, but its computational cost scales exponentially with the number of nucleons (protons and neutrons). At the University of Surrey, the team extended this qubit-efficient mapping to successfully model the ground state of 12C, showing a 6.82 per cent deviation from the exact result and paving the way for calculations on increasingly complex nuclei. The nucleus of carbon-12 served as a test case, verifying the accuracy of this quantum computing approach and demonstrating its potential beyond boron-10. A Variational Quantum Eigensolver, a hybrid quantum-classical algorithm, was employed by the team, utilising
Jun 5, 2026 · via quantumzeitgeist.com
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Jun 5, 2026 · via youtube.com
A $10,000 position in the Defiance Quantum ETF (NYSEARCA:QTUM) on the last trading day of 2025 was worth about $15,420 by the close on June 2, 2026, a 54.2% year-to-date move from a starting price of $109.44 to $168.76. Over the same stretch the S&P 500, as proxied by SPY, returned 11%, and the Nasdaq-100 via QQQ, the closest thing to a clean Magnificent 7 wrapper, returned 21%. A theme ETF beating the broad market by a factor of nearly five in five months is the kind of number that sends people to Google, and that is what you are doing here. QTUM is a straightforward thematic vehicle. It tracks the BlueStar Quantum Computing and Machine Learning Index, holds roughly 70 to 80 names on an equal-weighted basis, charges a 0.40% expense ratio, and has been trading since September 2018. The $23.21 launch-window price sits well in the rear-view mirror, with the fund up 627% since inception and 99% in the trailing year alone. The 2026 surge is therefore the second leg of a move that was already running. What actually did the work Equal weighting matters here, because it means the run is not the product of one or two names dragging an index higher in a Mag 7-style top-heavy way. The run is the product of the bench, with the equal-weighted structure preventing any one or two names from dragging the index higher Mag 7 style. That said, the pure-play quantum names inside QTUM have done staggering fundamental work this year, and they are the easiest place to start. IonQ (NYSE:IONQ | IONQ Price Prediction) reported Q1 2026 revenue of $64.67 million, growth of 755% year over year, and the company raised full-year guidance to $260 million to $270 million while telling the Street to expect adjusted EBITDA
Jun 5, 2026 · via 247wallst.com
Dutch–Japanese funding boost for unconventional computing research Computing with light and quantum computers using magnetic qubits As conventional computing technologies approach their fundamental physical limits, breakthroughs in computing performance will require entirely new technological paradigms. To accelerate such developments, the Netherlands Organisation for Scientific Research (NWO) and the Japan Science and Technology Agency (JST) have jointly awarded multi-million-euro funding to five collaborative research projects on unconventional computing technologies. The programme further strengthens Dutch–Japanese cooperation in cutting-edge science and high-tech innovation. Among the funded projects is one led by Allard Mosk of Utrecht University. A second project includes a key role for Rembert Duine, also of Utrecht University. Computing with light: faster, more efficient processing Modern computer chips rely on billions of electronic switches to process information. But as computing demands continue to grow, this technology is approaching its limits in terms of speed, energy consumption, and heat generation. In the OPERA project, led by Utrecht University physicist Allard Mosk, researchers will investigate how light can take over some of the most demanding computational tasks. Together with partners in the Netherlands and Japan, Mosk will develop a new generation of photonic technologies that use light to transmit and process information. By performing calculations directly as light travels through a system, tasks such as image recognition and 3D reconstruction could be carried out almost instantly and with far less energy than conventional computer chips require. The team will focus on applications in medical imaging, where rapid processing of large amounts of data is essential. Quantum computers with magnetic qubits Virtually all quantum computers developed today rely on superconducting qubits, in which quantum information is stored in two distinct energy levels of a superconducting circuit. An emerging alternative is the use of magnetic qubits, where quantum information is encoded in the orientation of
Jun 5, 2026 · via uu.nl
A novel phase of matter has been achieved by a team of American researchers, finally realizing a theoretical quantum prediction using nanoscale building blocks, a breakthrough that could pave the way for room-temperature quantum computing. Researchers at Brown University and the University of Michigan College of Engineering revealed how they briefly stabilized the novel state of matter in a nanoparticle superlattice in a recent paper published in the journal Science. They say their work provides a new method for engineering classes of materials with custom-shaped nanoparticles, which could be applied to quantum computers and other quantum applications. Quantum Blocks “Our work is a little bit like kids playing with LEGO blocks,” said co-author Ou Chen, an associate professor of chemistry at Brown. “We synthesize unique nanoscale building blocks and stack them into interesting structures. In this case, we were able to stabilize these theorized transitional structures and demonstrate important quantum optical properties.” Most metals form in one of two primary groups of crystal structures. The first is face-centered cubic (FCC), the tightest packing arrangement for spherical particles, typically forming a cube with a single particle at each corner and at the center of each face. The other type is body-centered cubic (BCC), a more loosely packed structure in which single particles are still present at the corners, but instead of each face being centered on a particle, one sits at the center of the entire arrangement. For the most part, atoms form one of these structures as they arrange into a metal, yet at high temperatures, some metals can switch from one structure to another. When it reaches 912° Celsius, Iron will transition from BCC to FCC. One explanation proposed for the transition is the Nishiyama-Wassermann pathway, which suggests that, due to the lower symmetry of the transition phases between
Jun 5, 2026 · via thedebrief.org
China unveils world’s first superfast quantum memory, paving way for practical computing
Breakthrough establishes core element required for general-purpose quantum computing that can read massive amounts of data
Quantum computers are expected to solve complex problems at speeds unattainable by traditional computers, and they need an efficient way to access classical data.
Without a high-speed data interface, even the fastest quantum machine is slowed down when forced to process massive classical data sequentially.
Quantum computers use qubits to process information. Unlike traditional computer bits, which can represent either a zero or one, qubits can exist in a “superposition” state and represent both zero and one simultaneously.
This peculiar characteristic, along with quantum entanglement, allows quantum computers to perform certain tasks exponentially faster than even the most powerful supercomputers.
Jun 5, 2026 · via scmp.com
While it might seem that your computer malfunctions every few minutes, the reality is that modern computers are usually quite robust. Not so much for quantum computers, where qubit life is often measured in milliseconds. Now, the company claims to have qubits that last for about 20 seconds. For example, Microsoft’s Majorana 1 quantum chip, which, incidentally, was mired in controversy, provided 8 qubits that were stable very briefly. This second-generation chip provides 12 qubits that average 20-second lifespans. Microsoft claims to use topological superconductors based on Majorana modes. However, despite claims, some researchers think the technology is using Andreev modes and does not contain any Majorana modes, although this is apparently debatable. Despite retracting an earlier paper, the company appears to stand by its claim that it is producing Majorana fermions. The biggest problem, of course, is that to be practical, you will need millions of qubits instead of 8 or 12. That’s in addition to better fault tolerance, error correction, and other operational details. So raw qubit count can be misleading, but Fujitsu has a 256-qubit system and is on track to install one with 1,000 qubits this year, although redundancy probably cuts the number of logical qubits quite a bit. Microsoft claims it will have a commercially viable machine by 2029. Until you can get your hands on a real quantum computer, there’s always simulation. I’m not very surprised that this is possible, but it’s also not really pushing the envelope. 12 qbits is uselessly few, and the problem has always been that the sensitivity and probability of collapse grows exponentially with the number of entangled qbits involved. This is why there’s been speculation that quantum computers as a practical concept might be impossible, and microsoft’s most recent result doesn’t really move the needle here. It’s not
Jun 5, 2026 · via hackaday.com
Off the Wire Press Releases LONDON, June 4, 2026 – OQC, JPMorganChase and AMD have announced a research collaboration leveraging a new and dedicated Quantum-AI Data Centre, built by OQC in London. JPMorganChase researchers will test near-term quantum and hybrid quantum-classical computing applications via a secure enterprise environment to examine how quantum computing, AI and high-performance classical infrastructure can work together on complex financial services challenges. The partners will use the platform to conduct research on the application of near-term quantum and hybrid quantum-classical computing including areas such as portfolio optimization and expanding explorations around quantum machine learning, while also developing specialized AI models to improve quantum circuit performance. The partners also plan to investigate how these quantum-enhanced AI models can accelerate the discovery of novel algorithms purpose-built for financial use cases, and the role of classical compute toward scalable fault-tolerant quantum algorithms. JPMorganChase will be OQC’s first dedicated user of the U.K. platform, which is expected to be fully operational within 12 months. The environment will physically integrate the OQC GENESIS quantum system with AMD-supported AI and classical compute, high-performance computing resources and application-level tooling for simulation, optimisation, AI model development and benchmarking. AMD compute technologies will provide infrastructure to support the AI and classical compute layer of the platform. By placing quantum hardware inside a secure enterprise compute environment, the platform is designed to let JPMorganChase test hybrid quantum-classical workflows for performance, scalability and reproducibility against the operational standards used in financial services. “Quantum computing has to move from isolated experiments into the secure compute environments where enterprises actually work,” said Gerald Mullally, CEO of OQC. “That is what we are building with JPMorganChase’s quantum research expertise: a dedicated quantum-AI platform for financial services that combines quantum hardware, AI and high-performance computing to support serious technical research and
Jun 5, 2026 · via hpcwire.com
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Jun 5, 2026 · via youtube.com
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Jun 4, 2026 · via youtube.com
PHOTO: Blackburn Keynotes Tennessee Valley Corridor National Summit in Chattanooga May 29, 2026 CHATTANOOGA, Tenn. – Today, U.S. Senator Marsha Blackburn (R-Tenn.) delivered keynote remarks at the Tennessee Valley Corridor National Summit in Chattanooga, where she made the case for why Tennessee must lead in emerging technologies like AI, quantum, and nuclear to ensure America’s national security and global dominance. She discussed the opportunities ahead with emerging tech, what Congress is doing to advance development of emerging tech, and why Tennessee is better prepared than any other state to secure America’s tech dominance. Blackburn Discusses Opportunities Ahead with Emerging Tech “With the time I have, I’d like to look at the opportunities we have ahead of us with emerging technologies; discuss how Congress is supporting these developments; and outline why Tennessee is better prepared than any other state to secure America’s tech dominance.” “We know that America’s 21st century leadership rests on our ability to develop and lead in emerging technologies, especially AI, quantum, and advanced nuclear. We also know that the development of each one of these technologies rests on the others.” “Quantum will provide the rails that AI will ride on—while handling complex computations needed for advanced reactors. AI is accelerating the development of quantum computers while aiding the construction and operation of reactors. And nuclear energy will provide the reliable, base-load power needed to scale up AI and quantum infrastructure.” “With these technologies, there are trillions of dollars in potential economic growth on the table. But more importantly, U.S. leadership in AI, quantum, and advanced nuclear is essential to our long-term national security.” Blackburn Discusses Congressional Action to Advance AI, Quantum, and Nuclear “In March, I unveiled the discussion draft for the TRUMP AMERICA AI Act—comprehensive legislation that would create one federal rulebook for AI. This bill
Jun 4, 2026 · via blackburn.senate.gov
At the heart of our home galaxy lurks a gigantic black hole that’s more than a trillion times heavier than Earth, with all that mass stuffed into a region that is about 2,000 times wider than our planet. Now scientists have discovered the behemoth is throwing off a hot breeze. The findings, detailed today in the Astrophysical Journal Letters, suggest not only that all black holes emit such a wind but also that these beasts are not total loners that are isolated from their environments. “We have never seen a breeze from a black hole,” says study co-author Elena Murchikova of Northwestern University. “We usually see the consequences of outbursts or other violent activities. Seeing the black hole sitting there, being quiet but still dumping energy all over the region without doing anything violent, is terribly cute,” adds Murchikova, an assistant professor in Northwestern’s department of physics and astronomy. On supporting science journalism If you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today. Supermassive black holes are suspected to lurk at the centers of all galaxies. Despite plenty of investigations of our home galaxy’s monstrous resident, called Sagittarius A*, or Sgr A* for short, scientists have yet to detect gassy winds blowing from it—which they’ve long theorized to exist. “To observe our own black hole, we have to look through the plane of our galaxy,” Murchikova said in a statement. “That means we have to peer through gas, dust and ionized structures, and you can’t really see through all of that easily.” Murchikova and Northwestern’s Mark Gorski led a team that compiled five years of data captured by a radio telescope in Chile called the
Jun 4, 2026 · via scientificamerican.com
Up Close and Unmatched: New Microscope a First-of-Its-Kind in the Region A recent major investment in Syracuse University research infrastructure has resulted in the installation of a Zeiss Sigma 360 field emission scanning electron microscope in the University’s Materials Research Core (MRC) facility. The instrument has introduced dramatic new imaging capabilities to researchers at the University and at partner institutions in the region. The new instrument demonstrates the University’s commitment to supporting and enabling cutting-edge research in important fields like biomedical engineering, materials science and quantum computing, says Jeremy Steinbacher, director of research operations in the Office of Research. The Zeiss will serve researchers across disciplines and career stages, from advanced undergraduates and graduate students to postdoctoral scholars and faculty. The Zeiss also supports the campus Quantum Information Science research group and Central New York’s rapidly expanding semiconductor and quantum technology ecosystem. The instrument was funded by a $335,000 investment by the Office of Research, the BioInspired Institute and individual faculty contributors. On Campus and Beyond The microscope is part of the Office of Research’s efforts to build shared, core facilities available to users across the University and the greater Syracuse region, says Duncan Brown, vice president for research. “Strong core facilities are a force multiplier for our outstanding faculty and student researchers, providing access to state-of-the-art scientific instruments without the burden of having to purchase and maintain them individually.” “For researchers who once drove an hour to use a scanning electron microscope, that capability is now right here, benefiting researchers on our campus, in our community and throughout the region,” Steinbacher says. It also serves as a recruiting tool because it demonstrates to prospective graduate students, postdoctoral scholars and faculty that state-of-the-art instrumentation is readily accessible at Syracuse, he says. A Billionth of a Meter Its resolution of 1.6
Jun 4, 2026 · via news.syr.edu
PRESS RELEASE Fujitsu and Daiichi Life Group Launch Joint Research to Advance Asset Management with Quantum Technology Based on the operations of Daiichi Life Insurance, which manages approximately 30 trillion yen, the study examines the effectiveness of utilizing quantum technology to optimize asset allocation Fujitsu Limited Daiichi Life Group, Inc. Kawasaki and Tokyo, Japan, June 4, 2026 Fujitsu Limited and Daiichi Life Group, Inc. today announced that they conduct joint research from April 2026 to March 2027 to advance asset management operations through the application of quantum technology in the insurance sector. This joint research will leverage the expertise of Daiichi Life Insurance Co., Ltd., a leading institutional investor in Japan managing approximately 30 trillion yen in assets, by addressing practical challenges in its asset management operations. Both companies will jointly design and develop quantum algorithms to optimize asset allocation across multiple asset classes, such as stocks, bonds, and alternative assets, considering risk-return balance and liability characteristics. They will also conduct performance verification using quantum computer simulators [1] (quantum simulators) and quantum computers. When making asset allocation decisions, it is necessary to simultaneously consider complex factors such as the balance between risk and return, liability characteristics, regulatory requirements, and investment constraints for each asset class. The two companies aim to conduct more comprehensive and efficient evaluations that take these factors into account under a wide range of economic scenarios, with the goal of researching and analyzing optimal asset allocation strategies. Background In recent years, advanced technologies such as AI and quantum technology have the potential to bring about transformation in various sectors of society. Particularly in the financial industry, these technologies are expected to enable more sophisticated risk analysis, improved customer experience, and enhanced operational efficiency, which were not achievable with conventional computers. Convinced that quantum computers are a key
Jun 4, 2026 · via global.fujitsu