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quantum-computingNEDO Funds RIKEN’s JHPC-quantum GPU Supercomputer “ROQUO”
RIKEN’s Kobe campus is now home to “ROQUO,” a new quantum-HPC hybrid supercomputer developed through NEDO’s “Research and Development of Quantum-Supercomputers Hybrid Platform for Exploration of Uncharted Computable Capabilities” project. The system integrates R-CCS’s existing Fugaku supercomputer with both the IBM Quantum System Two (“ibm_kobe”) and the Quantinuum trapped-ion quantum computer “Reimei,” coupling three distinct high-performance computing systems. Scientific goals for ROQUO focus on enhancing quantum-computing simulation and accelerating algorithm development, and also include applications like quantum machine learning. This new platform addresses computational needs that Fugaku alone cannot meet, responding to advanced challenges in the field. ROQUO’s architecture extends the capabilities of Fugaku, addressing computational challenges the supercomputer alone cannot resolve, and aims to enhance quantum-computing simulation environments while accelerating the development of new quantum algorithms. A key application area for the platform is quantum machine learning, which will combine the power of quantum computers and GPUs to tackle complex problems. Researchers anticipate that this hybrid approach will demonstrate the feasibility of integrating quantum and classical computing resources, opening new avenues for scientific discovery and technological advancement; further details are available on the R-CCS website. Project documentation states that the scientific goals of the new system are to enhance quantum-computing simulation environments on supercomputers. Researchers anticipate that ROQUO will facilitate performance evaluation of quantum algorithms and pioneer new application areas, responding to advanced computational needs with a flexible, hybrid approach. The platform’s design underscores a commitment to exploring capabilities at the intersection of quantum and classical computing, potentially unlocking solutions beyond current technologies. Sou
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Nature Paper Details Quantinuum’s 800× Logical Qubit Fidelity
Quantinuum has demonstrated logical qubits that outperformed their physical counterparts by a factor of 800, a breakthrough detailed in a new Nature publication and signaling substantial progress in error correction for quantum computing. The company is differentiating itself by achieving these fault-tolerance advancements on commercial hardware, rather than relying on theoretical or prototype systems, and is focused on reducing the resource overhead needed to scale quantum computers for practical applications. “Our progress is not only scientific; it is commercial,” Quantinuum states, emphasizing a path toward solving complex problems with confidence. Beyond high fidelity, these advancements include logical-qubit teleportation, multiple error-correction breakthroughs, and a recent computation utilizing 48 logical qubits derived from just 98 physical qubits, highlighting an efficient architecture for large-scale fault tolerance. Logical Qubit Performance Surpasses Physical Counterparts by 800x This achievement differentiates Quantinuum from many research efforts focused on theoretical systems or prototype hardware, as these breakthroughs were realized on commercially available Quantinuum hardware. Beyond simply achieving high fidelity, Quantinuum has focused on core components essential for large-scale fault tolerance, including logical-qubit teleportation and multiple error-correction breakthroughs. Last year, in collaboration with Microsoft, the initial demonstration of this 800x performance improvement laid the groundwork for further advancements. Subsequent work has included high-fidelity teleportation of a logical qubit, published in Science, and improvements to the System Model H2’s fidelity, exceeding previous milestones in fault tolerance. Researchers also achieved a single-shot error correcting code, significantly reducing resource requirements, and extended qubit lifetimes tenfold using a concatenated code. A recent computation performed with logical qubit
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quantum-computingQuantum Machines Systems Now Used by Over Half of Quantum Firms
More than half of the world’s quantum computing companies are now relying on control systems from Quantum Machines, a position the firm is solidifying through expansion into Europe. The company announced the acquisition of Hungarian firm PCB Engineering, its second European purchase in six weeks, and establishing a new research and development hub in Budapest. With a workforce spanning 22 countries, Quantum Machines has built what it claims is a leading system in the quantum industry. “Quantum computing is almost reaching a turning point, and significant impact is around the corner,” says Itamar Sivan, co-founder and CEO of Quantum Machines, anticipating a future where fault-tolerant quantum computers become a reality. The move signals consolidation within the quantum industry as companies compete to deliver scalable quantum computation. Quantum Machines is expanding geographically and deepening its investment in the hybrid quantum-classical control architecture considered essential for transforming quantum processing units (QPUs) into functional quantum computers. The company supports a diverse range of qubit modalities, including neutral atoms, superconducting qubits, and trapped ions, serving hyper-scalers, data centers, national laboratories, university research groups, and startups. This broad scope requires substantial investment and rapid innovation, challenges Quantum Machines appears to be addressing through strategic acquisitions and a growing international workforce. The acquisition of PCB Engineering is the company’s second European expansion in six weeks, demonstrating an aggressive approach to building a global presence. Quantum Machines now boasts employees in 22 countries, with significant offices in the U.S., Denmark, Germany, Israel, Japan, Singapore, the Netherlands, and Hungary. Shaul Galila, COO of Quantum Machines, emphasized the critical role of control hardware, stating, “When you are running a quantum computer, the control hardware has to be
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quantum-computingQuantum X Labs Integrates Algorithm, Decoder for Fault-Tolerant Output
Quantum X Labs is combining a quantum algorithm designed for clinical trial data with its Quantum Error Correction Decoder technology, signaling a move beyond broad quantum research toward focused application. The company’s new platform will be tested on both leading quantum processors and hybrid GPU, quantum computing systems, a strategy intended to avoid hardware dependence and maximize performance across diverse environments. A patent is pending on the Quantum Algorithm, reflecting Quantum X Labs’ confidence in its innovation. “Quantum computing is entering a phase where performance alone is no longer sufficient; reliability and fault tolerance are becoming equally critical,” said Prof. Nir Sharon, Chief Quantum Technology Officer of Quantum X Labs. By integrating algorithmic execution with error correction, the company aims to improve computational fidelity and accelerate the development of commercially viable quantum computing. CliniQuantum Platform Integrates with Quantum Error Correction Decoder Quantum X Labs is actively pursuing a strategy to bolster the reliability of its quantum computations. The company’s CliniQuantum platform now integrates with its proprietary Quantum Error Correction Decoder technology. This pairing addresses a fundamental shift in the quantum computing landscape, as the focus moves toward practical application and dependable results, rather than simply improving performance metrics. The CliniQuantum platform is specifically designed for analyzing clinical trial data, indicating a deliberate focus on a defined use case rather than broad, general-purpose quantum research. The integrated program will execute the Quantum Algorithm, for which a patent is pending, across a diverse range of hardware, allowing for comparative analysis of algorithmic performance and decoder capabilities in varied computational environments and optimizing the path toward scalable, fault-tolerant quantum applications. A key element of this optimization is the p
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quantum-computingWelinq and OVHCloud Partner on Networked Quantum Computing Architectures
Insider Brief OVHcloud announced a partnership with Welinq to explore networked quantum computing architectures and future quantum data center designs. The collaboration will focus on connecting and orchestrating quantum computers across different qubit modalities to support scalable hybrid quantum-classical computing. OVHcloud also confirmed that Quobly’s first commercial quantum computer, Alloy Pioneer, is expected to join its Quantum Platform by the end of 2026. PRESS RELEASE — European leader in the cloud and co-founding member of France Quantum, is participating in the fifth edition of the event. With more than 1,500 visitors and 60 speakers, France Quantum 2026 brings together European specialists in quantum computing for a day of conferences and discussions to take stock of the latest technological advances and their use cases. Octave Klaba, founder and CEO of OVHcloud, will be on stage to discuss advances in the quantum ecosystem and announce developments in OVHcloud. OVHcloud works with Welinq on the data centers of tomorrow As part of its research and development initiatives, OVHcloud is entering into a collaboration with Welinq aimed at the interconnection and orchestration of quantum computer networking technologies from different qubit modalities to think about the data centers of the future. Designed for scaling up quantum computing technologies, the Welinq solution enables the creation of homogeneous or heterogeneous clusters of quantum computers with classical resources. This research approach will make it possible to flexibly allocate computing loads to the most suitable platforms according to use cases and the evolution of quantum technologies. “The future of quantum computing will not only depend on the power of quantum computers, but on their ability to be networked and orchestrated within computing infrastructures. We are proud to see OVHcloud among the first players to deploy this new generation of technologies and to contribute with us t
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quantum-computingTop Quantum Programming Languages and Frameworks in 2026
Insider Brief The majority of the conversations about quantum computing focus on hardware and the software side gets less attention, but it is where most people who work with quantum computers actually spend their time. Quantum programming is the practice of writing algorithms and applications for quantum computers or quantum simulators. It draws on quantum […]
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quantum-computingSandia & Quantinuum Detail Helios’s Two-Qubit 99.7% Fidelity
Quantinuum’s 98-qubit Helios system has achieved high fidelity in single-qubit operations, a result published this week in Nature and indicating steady advancement toward practical quantum computing. The findings are the result of a collaboration between Sandia National Laboratories, which maintains the Department of Energy’s longest running quantum computing program, and the private company Quantinuum; their work assesses emerging opportunities and threats in areas from cryptography to pharmaceutical research. This partnership demonstrates a commitment to accelerating quantum computing technology in support of economic and national security, according to Sandia senior manager Mike Descour, who stated, “As a national resource, we are committed to accelerating quantum computing technology in support of economic and national security.” The published results establish Helios as Quantinuum’s largest and most reliable quantum computer to date, building on four years of cooperative research formalized through a renewed agreement in May. Helios System Achieves High Fidelity with 98 Qubits Quantinuum’s Helios system is demonstrating increasingly precise quantum operations, achieving single-qubit operations with high fidelity. This level of precision is crucial as researchers push the boundaries of what’s computationally possible with quantum hardware, moving beyond simple demonstrations toward practical applications. Helios, Quantinuum’s commercial offering, currently boasts 98 qubits, a relatively substantial number for a system undergoing rigorous testing for fault-tolerant quantum computing. The system’s performance was independently assessed by researchers at Sandia National Laboratories, leveraging decades of experience in quantum computing research and development. Sandia’s role extended beyond simple evaluation; researchers developed a new benchmarking methodology to measure the performance of mid-circuit measurements, essential for correcting errors in quantum compu
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quantum-computingString dynamics of a (2+1)D U(1) quantum link model on a digital quantum computer
--> Quantum Physics arXiv:2606.19601 (quant-ph) [Submitted on 17 Jun 2026] Title:String dynamics of a (2+1)D U(1) quantum link model on a digital quantum computer Authors:Anthony Gandon, Alessandro Mariani, Debasish Banerjee, Emilie Huffman, Gurtej Kanwar, Francesco Tacchino, Uwe-Jens Wiese, Ivano Tavernelli View a PDF of the paper titled String dynamics of a (2+1)D U(1) quantum link model on a digital quantum computer, by Anthony Gandon and 7 other authors View PDF HTML (experimental) Abstract:The (2+1)D U(1) pure gauge theory always exists in the confining phase, with strings of non-zero string tension giving a characteristic linear potential between static charges. This makes it a useful testing ground for quantum computing methods designed to study string dynamics of confining gauge theories. Here we implement a minimal U(1) quantum link model on a quantum computer with qubit degrees of freedom representing the dual height variables of the model. This facilitates an efficient realization of plaquette interactions and enables effective calculations of real-time dynamics that are inaccessible to traditional quantum Monte Carlo. A specifically tailored lattice geometry is chosen to match the heavy-hexagonal geometry of the IBM quantum hardware used here, minimizing non-adjacent qubit interactions. By performing quantum quenches from a simple initial string state, we probe the transverse quantum fluctuations of the string before it thermalizes. Our experimental results from digital quantum simulations, with up to 112 qubits, show good agreement with reference tensor-network calculations at short times and with thermal averages at long times. Near the phase transition, the quench dynamics exhibit large fluctuations of the initial string that extend across both spatial dimensions of the lattice. Nonetheless, our error-mitigated estimators from the quantum hardware also give accurate predictions in that regime, with noise-induced violations of local gauge symmetries co
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quantum-computingDiraq Opens a U.S. Office in Palo Alto, California
Diraq Opens a U.S. Office in Palo Alto, California Australian headquartered quantum hardware company Diraq has opened its office in Palo Alto as part of its U.S. growth strategy. The office will serve as a key hub for product development and developing ecosystem partnerships. The company indicated it is planning further expansion with an additional offices in the Los Angeles area as well as operations in Chicago. The company’s architecture utilizes silicon spin qubits (quantum dots) fabricated via standard Complementary Metal-Oxide-Semiconductor (CMOS) processes on 300mm wafers. This approach enables the high-density integration of quantum and classical control electronics on a single silicon chip. Diraq’s qubits operate at a temperature of approximately 1 Kelvin, which is significantly higher than the millikelvin requirements of superconducting qubits, thereby reducing the complexity and energy requirements of the necessary cryogenic cooling systems. Diraq’s technical roadmap targets the delivery of an initial quantum computer by 2029, with a goal of reaching utility-scale performance by 2033. The platform is engineered to support millions of qubits on a single chip, with projected manufacturing costs of less than one dollar per qubit. The company recently signed a letter of intent with the U.S. Department of Commerce to receive a $38 million funding investment under the Chips and Science Act to support the scaling and production of their fault-tolerant silicon quantum computing processors. The were also part of the group that was moved late last year to Stage B of DARPA’s Quantum Benchmarking Initiative (QBI). A press release with Diraq’s announcement of this U.S. expansion has been posted on their website here. June 18, 2026 dougfinke2026-06-18T15:41:37-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.
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quantum-computingXanadu Quantum vs. IonQ: The Better Quantum Computing Stock Buy for 2026
Artificial intelligence stocks have been hot, and the next big investment opportunity could be in quantum computing. A number of pure-play quantum companies have gone public in the past few years, capitalizing on investor interest in the technology. One of the newest in this space is Xanadu Quantum Technologies (XNDU 2.06%). Its initial public offering (IPO) occurred on March 27. By comparison, IonQ (IONQ +0.17%) is a relative veteran, having gone public in 2021. Is Xanadu or IonQ the better investment for investors seeking exposure to this up-and-coming industry? Here's a deeper look at both to arrive at an answer. Image source: Getty Images. A look at Xanadu Xanadu claims to be the first pure-play photonic quantum computing company to go public. The use of photons in its technology differentiates it from IonQ, which employs ions. Xanadu CEO Dr. Christian Weedbrook said he founded the company with "a conviction that photonics was the right path to a scalable quantum computer." His claim has merit, though photons and ions offer distinct advantages and downsides. Photons are light particles with properties that make them a compelling choice to power quantum computers. They are well-suited for quantum cryptography because their random quantum states make every photon inherently secure. Moreover, photons can transmit quantum data over long distances, rendering them suitable for quantum networking. Computer networks are essential for artificial intelligence, since networked devices unlock greater computational ability. In fact, IonQ added photonics to its solutions for these reasons. Xanadu is on a roll. It partnered with AI semiconductor giant Advanced Micro Devices and quadrupled revenue growth in the first quarter, reaching $2.8 million compared to $0.7 million in the previous year. ExpandNASDAQ: XNDUXanadu Quantum TechnologiesToday's Change(-2.06%) $-0.28Current Price$13.29Key Data PointsMarket Cap$4.1BDay's Range$12.68 - $14.2552wk Range$6.97 - $42.44Volume2.4
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quantum-computingD-Wave Introduces Gate-Model Quantum Simulator for Error-Aware Development
Insider Brief D-Wave announced a forthcoming gate-model quantum computing simulator designed to support error-aware programming and application development. The simulator will use D-Wave’s dual-rail architecture to provide error-detection data, real-time control capabilities, and tools for modeling quantum processor behavior. Access to the simulator is expected to begin in September 2026 through D-Wave’s Leap cloud platform as part of new quantum development bundles. PRESS RELEASE — D-Wave Quantum Inc. (NYSE: QBTS), (“D-Wave” or the “Company”), the only dual-platform quantum computing company providing both annealing and gate-model systems, software and services, today announced its forthcoming gate-model quantum computing simulator, which is expected to be the first of its kind designed for error-aware programming. The announcement marks the next step in D-Wave’s gate-model roadmap and comes just weeks after the Company outlined its differentiated approach to fault-tolerant quantum computing. Built around D-Wave’s dual-rail technology, the simulator is expected to enable error-aware programming, giving developers visibility into errors so they can design applications and workflows that respond to real processor behavior. By combining error detection and real-time control, the simulator will give developers new tools and data to better understand quantum behavior, prototype quantum applications and error-correction routines and explore advanced workflows. D-Wave will offer new quantum development bundles that provide access to its forthcoming gate-model quantum simulator and systems. Designed to support customer success, the bundles will include Starter and Premium packages, with monthly access allocations and guidance from D-Wave’s team of experts to streamline onboarding, perform flexible R&D and maximize customer value. Pricing is available upon request. “D-Wave’s gate-model quantum simulator is an important step in bringing our gate-model road
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quantum-computingQuantum Control Team Expands With Second European Buy in Six Weeks
More than half of the world’s quantum computing companies now rely on control systems from Quantum Machines, and the company is rapidly expanding its reach with the acquisition of PCB Engineering, a Hungarian firm specializing in high-performance computing hardware. This deal, announced on June 17, marks Quantum Machines’ second European acquisition in six weeks, establishing a new research and development hub in Budapest and solidifying the company’s position with a broad global presence, with employees across 22 countries. “Quantum computing is approaching a turning point, and significant impact is likely soon,” says Itamar Sivan, co-founder and CEO of Quantum Machines. As investment in quantum computing accelerates, Quantum Machines is focused on building the infrastructure needed to scale these systems, with total funding now at $280 million. This expansion demonstrates substantial investment in the European quantum ecosystem and signals a clear ambition to accelerate development timelines as the possibility of practical quantum advantage draws nearer. The acquisition of PCB Engineering is intended to bolster Quantum Machines’ hybrid quantum-classical control architecture, a foundational element for transforming quantum processing units into useful quantum computers. Quantum Machines’ activities span a diverse range of quantum modalities, including neutral atoms, superconducting qubits, trapped ions, and spin qubits, and serve a broad spectrum of clients, from hyper-scalers and data centers to national laboratories, university research groups, and quantum startups. This breadth necessitates significant and sustained investment, alongside a rapid pace of innovation, to meet the varied demands of the industry. With employees now present in 22 countries and established offices across the United States, Denmark, Germany, Israel, Japan, Singapore, the Netherlands, and Hungary, Quantum Machines has cultivated a broad global presence within the quantum industry. Janos
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