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Einstein’s “spooky action” just survived one of physics’ most extreme tests - ScienceDailyquantum-computing

Einstein’s “spooky action” just survived one of physics’ most extreme tests - ScienceDaily

Science News from research organizations Einstein’s “spooky action” just survived one of physics’ most extreme tests Date: September 20, 2026 Source: University of Oxford Summary: Physicists have detected strong evidence that heavy, fleeting Z bosons can become quantum entangled during Higgs boson decays at CERN’s Large Hadron Collider. The result shows that Einstein’s “spooky action at a distance” survives even under some of the most extreme conditions ever created in a laboratory. Share: Facebook Twitter Pinterest LinkedIN Email FULL STORY Einstein’s “spooky action at a distance” has now been seen at astonishing energies inside some of the most violent particle collisions on Earth. Credit: CERN Physicists at the University of Oxford have helped demonstrate that one of quantum physics' strangest phenomena, quantum entanglement, can persist even among some of the heaviest and shortest-lived particles ever produced. The finding, made with CERN's powerful Large Hadron Collider, has been published in Physical Review Letters. Quantum entanglement occurs when two particles share properties in such a way that measurements of one can reveal information about the other, even when the particles are separated. The connection is one of the most counterintuitive features of quantum mechanics and has challenged physicists' understanding of reality for decades. Albert Einstein famously called entanglement "spooky action at a distance," and scientists have previously observed the effect in systems involving photons, electrons and trapped ions. Entanglement has also become central to several emerging technologies, including quantum computers, ultra-secure quantum communication networks and advanced sensors. In quantum computing, for example, entanglement allows multiple qubits to be manipulated together rather than one at a time, making it possible to carry out multiple calculations simultaneously. Testing Quantum Entanglement at Extreme Energies What remained less clear was whethe

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Fortaegis Technologies Raises $50 Million Series A to Deploy Hardware-Rooted Quantum-Safe Secure Compute Architecturequantum-computing

Fortaegis Technologies Raises $50 Million Series A to Deploy Hardware-Rooted Quantum-Safe Secure Compute Architecture

Fortaegis Technologies Raises $50 Million Series A to Deploy Hardware-Rooted Quantum-Safe Secure Compute Architecture Amsterdam-based hardware security startup Fortaegis Technologies has closed an oversubscribed $50 million Series A funding round to accelerate commercial production and global deployment of its full-stack Secure Compute architecture. Led by returning investor Serendipity Capital, the syndicate includes strategic semiconductor, industrial, and defense backers TEL Venture Capital (the CVC arm of Tokyo Electron), ASML, TNO, Prodrive Technologies, NP-Hard Ventures, NovaCapital, Access Ventures, and Coalition Capital. The company’s executive leadership and board include Ilyas Khan (Founder of Quantinuum) as Chairman, Boudewijn Wijnands as Founder and CEO, and Chris Miller (author of Chip War) as a U.S. Board Member. Fortaegis’s technology addresses hardware security threats posed by high-throughput AI workloads and post-quantum decryption risks. The Fortaegis Silicon Platform provides a full-stack architecture spanning hardware, firmware, cryptography, and software that roots security directly in physical silicon properties. [ Fortaegis Series A Financing & Architecture Overview ]Financing & LeadershipHardware & Cryptographic ArchitectureDeployment & Product Roadmap• $50 Million Series A• Lead: Serendipity Capital• Strategic: ASML, TEL VC, TNO, Prodrive• Chairman: Ilyas Khan (Quantinuum)• Physical silicon-rooted trust & identity• Dynamic, quantum-safe key generation• Machine-to-machine connections >200× faster• Zero permanent on-chip key storage• Form Factors: Server rack, edge, embedded• Commercial FPGA scaling across US, EU, SG, JP• Dedicated custom ASIC roadmap development• Targets: AI data centers, defense, telecom By extracting cryptographic entropy from microscopic physical manufacturing variations in silicon, the architecture generates dynamic, quantum-resistant encryption keys on demand without storing keys permanently on-ch

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Researchers Cut Overhead in Quantum Error Assessmentquantum-computing

Researchers Cut Overhead in Quantum Error Assessment

A new method accounts for circuit-dependent noise during quantum gate operations, developed by Júlia Barberà-Rodríguez London and Arthur Strauss Quantum AI. Direct fidelity estimation maintains operational convia local Pauli preparation and measurement checks around each target operation. Currently, each tested input-output Pauli pairing requires individual setup, generating considerable overhead with non-Clifford gates. The team introduces joint fiducial grouping, dividing Pauli pairings according to shared input/output behaviour, enabling the simultaneous calculation of several Pauli transfer coefficients. Joint fiducial grouping lowers overheads for quantum channel verification An analytical framework, initially presented in Ref, is extended to reduce experimental overhead necessary for direct channel fidelity estimation. Joint fiducial grouping for DFE partitions the support of the target Pauli transfer matrix into groups where input and output Paulis simultaneously commute qubit-wise (QWC). Each commuting group can be estimated with one preparationmeasurement basis pair, substantially reducing the experimental overhead of DFE. This adapts measurementgrouping techniques developed for observable estimation within variational algorithms to channel certification. It provides an alternative perspective on the known connection between the cost of direct fidelity estimation and entropic measures of nonstabilizerness of the target system. Joint grouping offers two complementary advantages: it reduces distinct preparationmeasurement configurations required to characterise a process and also lowers total channel evaluations needed for given accuracy when the target Pauli transfer matrix has uneven weight within compatible groups. Numerical simulations using continuously parameterised fSim(θ, φ) gate family validated these analytical predictions evaluating practical performance of proposed strategy.

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Large Hadron Collider search rules out quantum black holes with certain propertiesquantum-computing

Large Hadron Collider search rules out quantum black holes with certain properties

Physicists at UC Santa Barbara have extended the search for microscopic black holes created within the Large Hadron Collider, demonstrating a novel method for detecting new particles beyond simply finding the target itself. While evidence of these fleeting objects remains elusive, researchers emphasize that even a negative result yields valuable scientific knowledge. “It’s not a dead-end,” said Danyi Zhang, a graduate student researcher at the Incandela Lab. This work addresses a long-standing discrepancy between the observed energy scale of the universe and the fundamental Planck scale, guiding future theoretical development and experimental searches at CERN. LHC Extends Search for Quantum Black Holes The Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider has broadened the scope of searches for microscopic black holes, establishing a new methodology applicable to identifying any novel particle, not solely black holes. This expanded search, detailed in Progress in High Energy Physics, has ruled out the existence of quantum black holes with specific characteristics, signifying valuable scientific knowledge even in the absence of detection. The team’s work establishes concrete limits on theoretical possibilities, shifting the focus of future investigations. This investigation stems from a decades-old hypothesis suggesting that, given sufficient energy and the potential existence of extra spatial dimensions, a concept integral to string theory, the LHC could momentarily generate quantum black holes during proton-proton collisions. Though these black holes would decay almost instantly, physicists theorized their decay patterns could be detectable, prompting initial searches by the ATLAS and CMS collaborations. With significantly larger datasets now available, researchers aimed to extend these searches to higher energy ranges, increasing the probability of detection should these fleeting objects exist. “If you want to describe things that are small, you

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EigenQ plans quantum expansion with new $45M fundingquantum-computing

EigenQ plans quantum expansion with new $45M funding

EigenQ has secured approximately $45 million in committed financing, with $22.5 million funded immediately, to accelerate the commercialization of its post-quantum cryptography solutions. The funding, structured as a convertible note, arrives as the company prepares to list on Nasdaq via a merger with Silicon Valley Acquisition Corp. According to EigenQ Chief Executive Officer Dr. José R. Rosas-Bustos, “Today’s announcement is a major milestone for EigenQ; it represents an important endorsement of what we have already built and our ability to bring together exceptional partners and institutions to participate in our story.” EigenQ intends to use the funds to expand delivery capacity and advance research across quantum security, communications, and sensing. $45 Million Financing Fuels EigenQ’s Quantum Commercialization Efforts EigenQ secured $22.5 million in immediate funding as part of a roughly $45 million convertible note, a financial instrument signaling investor confidence in the company’s trajectory toward commercial deployment of post-quantum cryptography solutions. This initial funding allows EigenQ to rapidly expand delivery capacity through existing OEM and channel partnerships, a strategy highlighted by collaborations with companies like HPE, AMD, WNC, and TD SYNNEX, the company says. Beyond expanding reach, the funds will also fuel continued research and development across quantum security, communications, networking, and sensing technologies. (Nasdaq: SVAQ). This approach allows for potential adjustments in valuation based on EigenQ’s progress, aligning investor interests with the company’s success in a rapidly evolving quantum field. The company is initially targeting government, defense, and critical infrastructure markets, where stringent regulatory requirements and security mandates are driving immediate demand for quantum-safe technologies. These efforts are bolstered by EigenQ’s portfolio of intellectual property and its commitment to aligning with

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GlobalFoundries Finalizes $375 Million CHIPS Act Award for Onshore Quantum Semiconductor Fabricationquantum-computing

GlobalFoundries Finalizes $375 Million CHIPS Act Award for Onshore Quantum Semiconductor Fabrication

GlobalFoundries Finalizes $375 Million CHIPS Act Award for Onshore Quantum Semiconductor Fabrication Semiconductor manufacturer GlobalFoundries (NASDAQ: GFS) has finalized a definitive agreement with the U.S. Department of Commerce’s CHIPS Research and Development Office to receive up to $375 million in federal R&D funding under the CHIPS and Science Act. Distributed over a five-year milestone-based schedule, the award accelerates the expansion of GF’s dedicated Quantum Technology Solutions (QTS) business unit at its Malta, New York manufacturing hub to scale domestic quantum hardware manufacturing. The agreement transitions GF’s previously announced letter of intent into a binding award to establish a secure, multi-modality domestic foundry ecosystem. GF’s QTS platform leverages its proprietary 22FDX fully depleted silicon-on-insulator (FD-SOI) process to fabricate specialized cryogenic CMOS control and readout integrated circuits (ICs) operating at millikelvin temperatures. The fabrication infrastructure also provides standardized lines for quantum processing units (QPUs), advanced 3D heterogeneous packaging, and superconducting interconnects across silicon-spin, trapped-ion, photonic, topological, and superconducting architectures. [ GlobalFoundries QTS Award & Manufacturing Infrastructure Scope ]Capital Allocation & VehicleFab Infrastructure & ToolsetsEcosystem Modalities & Partners• $375 Million Direct Award• CHIPS R&D Office Agreement• 5-Year Milestone Schedule• Malta, NY 300mm Fab Complex• Cryogenic CMOS (22FDX) Readout• 3D Heterogeneous Packaging• Silicon-Spin (Diraq, Quantum Motion)• Trapped-Ion Photonics (Quantinuum)• Silicon Photonics (PsiQuantum) Led by Nicholas Sergeant, Vice President and General Manager of QTS, GF provides commercial foundry access for hardware developers transitioning from lab prototypes to high-yield wafer production. The finalized $375 million agreement complements GF’s broader $300 million CHIPS LOI targeti

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IonQ gains control of chip supply with SkyWater foundry dealquantum-computing

IonQ gains control of chip supply with SkyWater foundry deal

IonQ has raised its full-year 2026 revenue outlook to between $260 million and $270 million, signaling continued growth in the quantum computing sector following the completed acquisition of SkyWater Technology. At its Investor Day held at the New York Stock Exchange, the publicly traded company, founded in 2015 by Christopher Monroe and Jungsang Kim, detailed a strategy of vertical integration spanning computing, sensing, networking, and quantum-safe security. This integration, bolstered by SkyWater’s manufacturing capabilities, positions IonQ to deliver its Superion 256 system with initial customer deliveries scheduled for 2027. Superion 256 Hardware: Scaling to Millions of Qubits Superion 256 hardware represents a shift in IonQ’s strategy, moving beyond simply building quantum computers to establishing a fully integrated platform capable of scaling to millions of qubits. Initial customer deliveries of the flagship system are scheduled for 2027, a timeline enabled by architectural breakthroughs and the recent acquisition of SkyWater Technology. Source: ionq.com Chris Ballance, IonQ President of Quantum Computing, explained the necessity for this redesign: “If we want to build out systems with orders of magnitude more qubits and deploy orders of magnitude more of them, which we definitely do, we need to radically simplify the platform.” This simplification is about accelerating the entire development cycle and increasing qubit count. A key innovation driving this scalability is Electronic Qubit Control, or EQC, originating from the acquisition of Oxford Ionics. EQC replaces complex optical laser setups with chip-integrated classical electronics, reducing the cost per qubit by over 300x across IonQ’s roadmap while simultaneously enhancing system stability, the company says. “\[EQC] allows us to take out this whole middle layer of laser control, directly connecting our classical control electronics to our quantum chip, and build out these quantum chips in standard se

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Sectigo Launches Quantum Ready™ Platform to Drive Enterprise Quantum Security Posture Management (QSPM)quantum-computing

Sectigo Launches Quantum Ready™ Platform to Drive Enterprise Quantum Security Posture Management (QSPM)

Sectigo Launches Quantum Ready™ Platform to Drive Enterprise Quantum Security Posture Management (QSPM) Automated Certificate Lifecycle Management (CLM) provider Sectigo has launched Sectigo Quantum Ready™, an enterprise software solution marking the company’s formal entry into the Quantum Security Posture Management (QSPM) market. Delivered as an operating framework and continuous discovery engine, the platform enables organizations to identify, inventory, and assess quantum-vulnerable cryptography across hybrid cloud, application, and network environments ahead of post-quantum cryptography (PQC) migrations. Addressing the foundational operational barrier—that organizations cannot migrate cryptographic assets they cannot see—Sectigo Quantum Ready™ dynamically generates and maintains an automated Cryptographic Bill of Materials (CBOM). The system scans enterprise networks to discover public key infrastructure (PKI) certificates, symmetric and asymmetric keys, active encryption algorithms, and underlying application dependencies, replacing static point-in-time risk assessments with a real-time system of record. [ Sectigo Quantum Ready™ & QSPM Functional Framework ]QSPM Architecture PhasePlatform Operational ScopeEnterprise Deliverables & Outcomes• DISCOVER• Continuous asset & dependency identification• Dynamic Cryptographic Bill of Materials (CBOM)• ASSESS & PLAN• Technical posture & exposure risk evaluation• Prioritized migration roadmaps & baseline reporting• MANAGE & FIX• Integration with Sectigo Certificate Manager• Orchestrated PQC transition & crypto agility governance Under Chief Product Officer Ian Hassard, the platform links discovery insights directly into Sectigo’s Certificate Manager ecosystem to orchestrate automated, crypto-agile policy enforcement and certificate lifecycle updates. Available via a limited Early Access program, the launch expands Sectigo’s PQC portfolio alongside its dedicated hardware-backed sandbox init

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Mitsubishi Electric and OptQC Expand Strategic Partnership Amid JPY 7B ($47M USD) Series A2 and Tokyo R&D Expansionquantum-computing

Mitsubishi Electric and OptQC Expand Strategic Partnership Amid JPY 7B ($47M USD) Series A2 and Tokyo R&D Expansion

Mitsubishi Electric and OptQC Expand Strategic Partnership Amid JPY 7B ($47M USD) Series A2 and Tokyo R&D Expansion OptQC Optical Quantum Computer “MoQuren” Industrial electronics giant Mitsubishi Electric Corporation (TOKYO: 6503) and photonic quantum computing developer OptQC Corp. have formalized a multi-tiered strategic alignment spanning venture capital investment, national research grants, and facility expansions across Japan. The collaboration coincides with OptQC closing an oversubscribed JPY 7.0 billion (~$47M USD) Series A2 financing round led by NTT, Inc., pushing OptQC’s total equity and public grant funding past JPY 20.0 billion (~$133M USD). Spun out of the University of Tokyo’s Furusawa Laboratory in September 2024, OptQC builds continuous-variable, room-temperature optical quantum processing units designed to operate at atmospheric pressure without dilution refrigeration constraints. Mitsubishi Electric participated in the Series A2 round via its corporate venture arm, the ME Innovation Fund, joining a 21-investor syndicate that includes KDDI, Canon Marketing Japan, Kyocera, ANA Holdings, SBI Holdings, and the Japan Science and Technology Agency (JST). The CVC investment enables Mitsubishi Electric to integrate OptQC’s photonic QPU hardware insights directly into its industrial software compilation, automation, and logistics frameworks. [ OptQC Capital, R&D Expansion & Mitsubishi Electric Ecosystem Matrix ]Initiative TrackKey Stakeholders & AllocationsOperational Scope & DeliverablesSeries A2 Equity Round• Lead: NTT, Inc.• Corporate CVCs: Mitsubishi Electric, KDDI, Kyocera, Canon, ANA, SMBC• JPY 7.0B (~$47M) equity raise• Total funding past JPY 20.0B (~$133M)• Funds 10,000-qubit processor developmentTokyo R&D Facility Hub• IT tower TOKYO (15th & 23rd Floors)• Total Area: 1,225 m² (Toshima-ku, Tokyo)• Scheduled Start: February 2027• 15th Fl: Hardware, optical experiments, & controls• 23rd Fl: Theory, software, use cases

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Researchers Bound Phase Gate Creation Time with Polylogarithmic Scalingquantum-computing

Researchers Bound Phase Gate Creation Time with Polylogarithmic Scaling

A new method for creating non-Gaussian phase gates has been developed, key components for achieving universal continuous-variable (CV) quantum computation. The approach utilises qubit-oscillator Rabi control to synthesise polynomial phase gates with interaction times that scale favourably, polylogarithmically, with the desired accuracy. This analytical construction avoids complex numerical optimisation procedures and is readily applicable to larger, more complex quantum systems, demonstrating near optimal efficiency as confirmed by established lower bounds on synthesis time. By successfully simulating CV quantum dynamics and implementing an algorithm solving linear partial differential equations, qubit-oscillator Rabi control is a powerful primitive within CV quantum information processing. Polylogarithmic Scaling Achieves Faster Continuous-Variable Quantum Gate Synthesis Total interaction time for synthesising polynomial phase gates has been reduced to O(log(R−1)/2+o(1/ε)), representing an improvement over previous methods requiring O(1/ε) via Fourier-Trotter approaches or O(log(1/ε)) using QSP control. This advance crosses a critical threshold, enabling potentially faster and more efficient routes toward high precision quantum gate operations within continuous-variable (CV) quantum computation; previously, achieving comparable accuracy demanded substantially longer processing times. Researchers at University of Electronic Science and Technology, in collaboration with Tsinghua University and Yangtze Delta Industrial Innovation Centre of Quantum Science and Technology, demonstrated this polylogarithmic scaling through an analytically constructed Rabi sequence, a series of interactions between qubits and oscillators, avoiding complex numerical optimisation procedures. The team accomplished this by constructing the Rabi sequence analytically, bypassing computationally intensive numerical optimisation typically used for designing such sequences. Furthermore, they estab

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Graph neural network predicts qubit routing costsquantum-computing

Graph neural network predicts qubit routing costs

Tian Li, Tan Li, and Wansu Bao of Henan Key Laboratory of Quantum Information and Cryptography have developed a graph-based reinforcement-learning framework to address logical qubit allocation, a critical compilation problem for fault-tolerant quantum architectures. The work demonstrates a method for assigning circuit qubits to chip tiles while minimizing the ancilla-qubit cost, the number of extra workspace qubits needed for circuit execution, and maintaining access to essential quantum resources. Evaluated on MQTBench circuits, the allocator reduces average ancilla-qubit cost by 36.7% compared to the ECMAS+ baseline, achieving lower costs in 57 of 64 qubit-size bins and establishing learned allocation as a scalable paradigm. Graph Neural Network Predicts Allocation-Aware Circuit Costs A newly developed graph neural network (GNN) predicts the ancillary qubit costs associated with quantum circuit allocation, offering a significant step toward more efficient use of limited quantum resources. The framework, detailed in recent work, moves beyond traditional circuit mapping by learning to anticipate the demand for these extra workspace qubits, often described as before allocation even begins. This predictive capability stems from pre-training the GNN on a supervised task, estimating ancilla-qubit costs from circuit-allocation pairs represented as allocation-aware circuit graphs. The core innovation lies in fusing circuit structure with the physical geometry of the quantum chip, allowing the model to learn from the relationship between circuit design, tile layout, and the accessibility of these magic states. These magic states are important for universal quantum computation, and their efficient utilization directly impacts the overall qubit overhead. The GNN learns to create a cost-sensitive embedding of circuit-allocation pairs, capturing the complex interplay between these factors.

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