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Atom Computing and Nu Quantum Partner to Unlock Utility-Scale Quantum Computing​quantum-computing

Atom Computing and Nu Quantum Partner to Unlock Utility-Scale Quantum Computing​

Atom Computing and Nu Quantum today announced a strategic collaboration via a Memorandum of Understanding to integrate neutral-atom quantum computers with photonic networking hardware. The goal is to develop scalable, modular approaches for utility-scale quantum computing and fault-tolerant architectures. This partnership combines Atom Computing’s expertise in neutral-atom systems and quantum error correction with Nu Quantum’s leadership in quantum networking technology. Together, they aim to move the industry beyond foundational research toward transformative real-world applications at the GigaQuOp scale and beyond. The post Atom Computing and Nu Quantum Partner to Unlock Utility-Scale Quantum Computing​ appeared first on The Qubit Report.

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Quantum Machines Acquires PCB Engineering and Opens Budapest R&D Hubquantum-computing

Quantum Machines Acquires PCB Engineering and Opens Budapest R&D Hub

Insider Brief Quantum Machines has acquired Hungary-based PCB Engineering, establishing a new R&D hub in Budapest and marking its second European acquisition in six weeks. The acquisition expands Quantum Machines’ engineering capabilities as the company continues developing quantum control systems used across multiple quantum computing modalities and customer segments. Quantum Machines said the additional engineering expertise will support its hybrid quantum-classical control roadmap as the industry advances toward fault-tolerant quantum computing. PRESS RELEASE — Quantum Machines (QM), whose control systems are used by more than half of the world’s quantum computing companies, today announces the acquisition of Hungarian company PCB Engineering – its second European acquisition in six weeks. The deal establishes a new Budapest R&D hub, allowing Quantum Machines to accelerate its roadmap as quantum advantage appears closer than ever. With employees in 22 countries and major offices across the U.S., Denmark, Germany, Israel, Japan, Singapore, the Netherlands, and now Hungary, Quantum Machines has built the quantum industry’s broadest global footprint. Quantum Machines is deepening its hybrid quantum-classical control architecture that the industry depends on to turn QPUs into useful quantum computers. The company’s activities span different modalities (neutral atoms, superconducting qubits, trapped ions, spin qubits, etc.) as well as different segments (hyper-scalers, data-centers, national labs, university labs, startups, etc.) and therefore demand vast investments and an extremely high pace of innovation. Itamar Sivan, co-founder and CEO of Quantum Machines, said: “Quantum computing is almost reaching its turning point – and unprecedented impact is around the corner. It won’t be long until fault-tolerant quantum computers are a reality. To get there, Quantum Machines has built the industry’s biggest quantum control team and is deploying the biggest investme

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DARPA Initiative Backs Quantum Motion’s Maryland Facility at CoQquantum-computing

DARPA Initiative Backs Quantum Motion’s Maryland Facility at CoQ

Quantum Motion, a U.K. company developing silicon-based quantum computers, will establish a facility within Discovery District Maryland, adding an international dimension to the U.S. quantum computing sector. The move places Quantum Motion alongside IQM and Microsoft in a concentrated deep tech hub designed to advance hardware development and support the DARPA Quantum Benchmarking Initiative, a national program assessing commercial quantum platforms. “Maryland’s Discovery District represents an ideal launchpad for our U.S. operations,” said Hugo Saleh, President and CCO of Quantum Motion, emphasizing access to talent and a thriving quantum ecosystem. This expansion diversifies the Capital of Quantum’s hardware portfolio, now encompassing ion trapping, photonic, superconducting, topological, and silicon qubit technologies, and reflects strategic investments intended to maintain Maryland’s leadership in quantum discovery. Quantum Motion Expands Silicon Qubit Development in Maryland Quantum Motion, a U.K. company that develops full-stack silicon CMOS quantum computers, is expanding its operations. This expansion places Quantum Motion alongside existing quantum leaders IQM and Microsoft, already co-located in the same deep tech facility, creating a concentrated hub for advanced quantum research and development. The facility is specifically designed to support the development of quantum hardware and facilitate collaboration with federal agencies, including access to nearby institutions like NIST, NASA Goddard, and the University of Maryland’s Joint Quantum Institute. Dr. Corey Stambaugh, Director of the Capital of Quantum, noted that Quantum Motion’s decision to locate here, alongside IonQ, IQM, Microsoft, and a growing community of quantum leaders, reflects the momentum this ecosystem has built and the region’s growing prominence in the field. Maryland’s Discovery District represents an ideal launchpad for our US operations. Hugo Saleh, President and CCO of Quantum Moti

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UK, Japan Expand Quantum Partnership With Focus on Commercial Deploymentquantum-computing

UK, Japan Expand Quantum Partnership With Focus on Commercial Deployment

Insider Brief The United Kingdom and Japan launched a new Frontier Technology Partnership that expands bilateral cooperation on quantum computing, sensing and communications with an emphasis on commercialization and deployment. The two governments committed to long-term collaboration on integrating quantum computing with high-performance computing systems while encouraging cross-border investment, exports and joint research and development by businesses in both countries. The partnership also calls for closer cooperation on quantum testbeds, evaluation frameworks and system integration to accelerate practical applications across computing, networking and sensing domains. The United Kingdom and Japan are expanding their quantum partnership beyond research collaboration and toward commercialization, infrastructure integration and long-term industrial coordination. The two countries on Sunday unveiled a new Frontier Technology Partnership that places quantum technologies alongside artificial intelligence, cybersecurity and advanced communications as priority areas for joint action. The agreement signals a deeper effort to connect the U.K.’s strengths in quantum software and research with Japan’s manufacturing expertise and hardware capabilities. According to the joint statement signed in London by U.K. Prime Minister Keir Starmer and Japanese Prime Minister Takaichi Sanae, the countries aim to “develop globally competitive, commercially scalable and deployable quantum technologies, including computing, sensing and communications.” The commitment builds on a Quantum Memorandum of Cooperation signed in 2025, but expands the scope of collaboration into areas that have become increasingly important as governments seek economic and strategic advantages from emerging technologies. The statement outlines plans to strengthen ties between British and Japanese quantum computing ecosystems while encouraging businesses in both countries to export products, invest across borders an

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Quantum Motion Establishes Silicon CMOS Hardware Base within Discovery District Marylandquantum-computing

Quantum Motion Establishes Silicon CMOS Hardware Base within Discovery District Maryland

Quantum Motion Establishes Silicon CMOS Hardware Base within Discovery District Maryland Silicon spin-qubit developer Quantum Motion has finalized an agreement to establish an engineering facility within the Capital of Quantum (CoQ) deep-tech complex located in Discovery District Maryland. The United Kingdom-headquartered firm joins an established hardware cluster that houses IQM’s primary United States Quantum Technology Center and Microsoft’s Quantum Research Center. The regional expansion is designed to deploy Quantum Motion’s full-stack silicon complementary metal-oxide-semiconductor (CMOS) architectures alongside existing ion-trap, photonic, topological, and superconducting modalities. This expansion supports specialized testing infrastructure tailored for federal collaboration and high-throughput hardware characterization pipelines. CMOS Manufacturing Leverage and Cross-Border Research Integration Quantum Motion’s hardware strategy relies on manufacturing quantum processing units (QPUs) by utilizing standard silicon transistor fabrication techniques identical to those found in commercial consumer electronics. By encoding quantum information into the spin states of electrons confined within mass-produced silicon structures, the company intends to leverage existing semiconductor foundries to bypass the fabrication yield barriers that frequently complicate alternative qubit modalities. The College Park installation connects Quantum Motion’s international research and development nodes spanning London, San Sebastián, and Sydney with the commercial and defense infrastructure of the Washington metropolitan corridor. This includes proximity to the National Institute of Standards and Technology (NIST), NASA Goddard Space Flight Center, the Army Research Laboratory, and the University of Maryland’s Joint Quantum Institute. Operational Mandate: The DARPA Quantum Benchmarking Hub A primary operational objective for the new facility is its integration into the Capital of

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QuEra Outlines 2028 Roadmap for 256-Logical-Qubit “Libra” System and Expanded AWS Cloud Partnershipquantum-computing

QuEra Outlines 2028 Roadmap for 256-Logical-Qubit “Libra” System and Expanded AWS Cloud Partnership

QuEra Outlines 2028 Roadmap for 256-Logical-Qubit “Libra” System and Expanded AWS Cloud Partnership Neutral-atom hardware developer QuEra Computing and Amazon Web Services (AWS) have announced an expanded, multi-year strategic collaboration to bring the first fault-tolerant quantum computer to the cloud. Scheduled for release in 2028, QuEra’s upcoming system, Libra, is designed as a “megaquop-class” processor. This classification indicates that the hardware is engineered to execute on the order of one million reliable logical quantum operations over hundreds of logical qubits before computational states are degraded by errors. Under the expanded agreement, the error-corrected system will be hosted natively on Amazon Braket, establishing an integration pathway for early non-trivial research and scientific applications. Technical Parameters: Target Specs and Reconfigurable Atom Arrays The structural architecture of the Libra processor targets an operational baseline of 256 error-corrected logical qubits and an anticipated logical error rate of 10-6 (one error per million operations). To sustain these thresholds, the system utilizes neutral-atom (Rydberg) technology, which inherently scales by organizing thousands of identical atoms within a single module, eliminating the need for complex inter-module interconnects. Furthermore, the hardware leverages optical tweezers—highly focused laser beams—to dynamically reposition atoms in real time without destroying quantum coherence. This reconfigurability provides all-to-all connectivity between qubits, allowing the system to run ultra-high-rate, transversal error-correcting codes that lower the physical-to-logical qubit overhead ratio compared to rigid, static topologies. Peer-Reviewed Scientific Foundations and Validation History The engineering roadmap for Libra builds on a series of field validations conducted by QuEra and its academic founders at Harvard University and the Massachusetts Institute of Technology (MIT). The

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Tight Bounds for Quantum Phase Estimation and Related Problemsquantum-computing

Tight Bounds for Quantum Phase Estimation and Related Problems

AbstractPhase estimation, due to Kitaev [17], is one of the most fundamental subroutines in quantum computing. In the basic scenario, one is given black-box access to a unitary $U$, and an eigenstate $\lvert \psi \rangle$ of $U$ with unknown eigenvalue $e^{i\theta}$, and the task is to estimate the eigenphase $\theta$ within $\pm\delta$, with high probability. The cost of an algorithm for us is the number of applications of $U$ and $U^{-1}$. We tightly characterize the cost of several variants of phase estimation where we are no longer given an eigenstate, but are required to estimate the maximum eigenphase of $U$, aided by advice in the form of states (or a unitary preparing those states) which are promised to have at least a certain overlap $\gamma$ with the top eigenspace. We give algorithms and nearly matching lower bounds for all ranges of parameters. We show that a small number of copies of the advice state (or of an advice-preparing unitary) are not significantly better than having no advice at all. We also show that having lots of advice (applications of the advice-preparing unitary) does not significantly reduce cost, and neither does knowledge of the eigenbasis of $U$. We immediately obtain a lower bound on the complexity of the Unitary recurrence time problem, resolving an open question of She and Yuen [29]. Lastly, we study how efficiently one can reduce the error probability in the basic phase-estimation scenario. We show that a phase-estimation algorithm with precision $\delta$ and error probability $\epsilon$ has cost $\Omega\left(\frac{1}{\delta}\log\frac{1}{\epsilon}\right)$, matching an easy upper bound. This contrasts with some other scenarios in quantum computing (e.g., search) where error-probability reduction costs only a factor $O(\sqrt{\log(1/\epsilon)})$. Our lower bound uses a variant of the polynomial method with trigonometric polynomials.► BibTeX data@article{Mande2026tightboundsquantum, doi = {10.22331/q-2026-06-15-2140}, url = {https://

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Quantum Startups Among Inside Constructor Start’s 40-Startup New Cohortquantum-computing

Quantum Startups Among Inside Constructor Start’s 40-Startup New Cohort

Insider Brief Constructor Start selected 40 startups from more than 2,100 applicants across 70 countries for its fourth equity-free accelerator cohort, with a strong emphasis on deep-tech sectors including quantum, health, energy, space, and physical AI. Three startups in the 2026 batch are focused on quantum technologies, including Memstera’s programmable quantum memory architecture, Pixel Photonics’ superconducting single-photon detection platform, and Query Machines’ quantum-AI reasoning models and planned API offerings. Participating startups will complete an eight-week mentorship program culminating in a July online pitch event and a September Demo Day in Bremen, where three winners will be eligible for initial $100,000 investments and up to $1 million in follow-on funding from Constructor Capital. Image: Photo by Nicola Narracci on Pexels PRESS RELEASE —  Constructor Start, the equity-free global accelerator, designed by Constructor Capital and run in partnership with Constructor University and Nexford University, announced the 40 startups selected for its fourth batch, selected from 2100 applications across 70 countries. The 2026 cohort spans Software, AI, DeepTech, and EdTech, with a notable concentration in frontier hardware: three startups are working directly on quantum technologies, and more than fifteen are building deep-tech products across health, energy, space, and physical AI — areas where Constructor’s combination of university research labs, technical mentorship, and patient capital is designed to support teams that pure-software accelerators are not equipped for. The batch runs through two milestone events: an online pre-Demo Day pitch event called “Snowball” on July 3, 2026, a new format where each of the startups gets exactly one minute to pitch a panel of more than 40 investors, and in person Demo Day in Bremen in September, where the top 15 teams  will pitch live on stage in front of 200+ attendees, including tier-1 international VC

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Researchers Forecast 60% Probability of Quantum Threat to Bitcoin Spendingquantum-computing

Researchers Forecast 60% Probability of Quantum Threat to Bitcoin Spending

Iosif M. Gershteyn and Jacob A. Alber have investigated the potential vulnerability of Bitcoin and Ethereum to quantum computing. Their work clarifies the distinct risks posed by Shor’s algorithm, targeting the elliptic-curve signatures authorising transactions, and Grover’s algorithm, presenting a limited challenge to proof-of-work mining due to inherent protections and escalating costs. Monte-Carlo forecasting estimates the probability of a cryptographically relevant quantum computer emerging as approximately one in six by 2035, rising to nearly 30% by 2040 and 60% by 2050. A proactive migration to post-quantum signatures represents a viable solution, with governance proving to be the key limiting factor rather than technological hurdles. Modelling cryptographic vulnerability using probabilistic quantum hardware development Monte-Carlo forecasting underpinned the assessment of quantum risk, a technique borrowed from physics and finance to model complex systems with inherent uncertainties. This involves building a computational model that simulates the development of quantum computing hardware, factoring in variables like qubit counts, error rates, and the time needed to achieve fault tolerance. Fault tolerance is the ability of a quantum computer to correct errors during calculations, crucial for reliable results, as quantum systems are inherently susceptible to decoherence and other noise sources. The model doesn’t simply predict a single date for the arrival of a “cryptographically relevant quantum computer”, one powerful enough to break current encryption, but instead generates a probability distribution, revealing a range of possible timelines and their likelihoods. Repeated random sampling generates this distribution, allowing for the exploration of a vast parameter space and providing a more robust assessment of risk than deterministic predictions. This approach was chosen to account for the range of possibilities inherent in forecasting technological advanc

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QNu Labs Represents India’s Frontier Tech With 120 Deep Tech Venturesquantum-computing

QNu Labs Represents India’s Frontier Tech With 120 Deep Tech Ventures

QNu Labs is collaborating with Eindhoven University of Technology (TU/e) to test and validate the long-term resilience of quantum key distribution (QKD) technology, a partnership announced during the Bharat Innovates event in Nice, France. The collaboration unites TU/e’s quantum networking expertise with QNu Labs’ experience deploying quantum solutions across sectors like defense and banking in India, aiming to advance global quantum security standards. “Europe and India share a common interest in building quantum communication infrastructure that is sovereign, trusted, and standards-compliant,” said Simon Rommel, assistant professor at Eindhoven University of Technology. QNu Labs, one of 120 Indian deep tech ventures selected to showcase the nation’s technological capabilities, is also deploying systems designed to defend against both conventional cyberattacks and emerging threats from agentic AI and future quantum computers. QNu Labs and TU/e Collaborate on Quantum Key Distribution At QNu Labs, we are building and deploying quantum-safe technologies that protect nations, enterprises, and critical infrastructure against threats from agentic AI, traditional cyber, and future quantum computers that are already on the horizon. Sunil Gupta, co-founder & CEO, QNu Labs Hybrid Quantum-Safe Network Demonstrated for BFSI Adoption The convergence of quantum key distribution and post-quantum cryptography is now being actively demonstrated in practical network deployments, moving beyond theoretical security models. This network integrates QKD with post-quantum cryptography to offer layered protection against both present-day attacks and the potential decryption capabilities of future quantum computers, a strategy reflecting a proactive, multi-faceted defense. A research agreement between QNu Labs and Eindhoven University of Technology (TU/e) will concentrate on rigorous security testing, validation, and long-term resilience of QKD systems, ensuring the technology meets glo

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