News

Company, funding, product and policy news from across the quantum industry, as it happens.

  1. Today

    1. NVIDIA and Jülich Run 104-Qubit Magic State Cultivation Simulation on JUPITER Supercomputer

      NVIDIA and Jülich Supercomputing Centre simulated a 104-qubit fault-tolerant quantum computing experiment on the JUPITER supercomputer, Europe's first exascale system. This simulation, detailed in an NVIDIA technical report, validated a magic state cultivation protocol that significantly reduces physical qubit overhead. The project utilized JUPITER's 8,192 NVIDIA GH200 Grace Hopper Superchips and advanced software to model complex quantum error correction.

    2. Xanadu Secures Up to $10 Million in Additional DARPA Funding Under QBI Program

      Xanadu, a photonic quantum computing company, has secured up to $10 million in additional DARPA funding through the Quantum Benchmarking Initiative (QBI). This one-year contract extension will support Xanadu's hardware and software development, particularly for its fault-tolerant photonic architecture and the PennyLane open-source quantum software framework. The funding aims to accelerate the development of practical, fault-tolerant quantum computing for various industrial and government applications.

    3. Quantinuum Demonstrates 99.9995% Logical Memory Fidelity on Helios Trapped-Ion Processor

      Quantinuum has demonstrated a 99.9995% logical memory fidelity on its Helios trapped-ion quantum computer, achieving a logical error rate of 5 × 10-6 per syndrome-extraction round on a distance-7 code. This performance shows exponential error suppression with increasing code distance, with a suppression factor of 12. These results align with the performance targets for Quantinuum's future universal fault-tolerant quantum system, Apollo.

    1. Review Evaluates AI and Quantum Computing Paradigms for Adaptive Combinatorial Optimization

      A new review paper by Hoong Chuin Lau examines the intersection of AI and quantum computing for combinatorial optimization, categorizing research into three paradigms: AI-for-Quantum Optimization (AI-for-QO), Quantum-for-AI (Q-for-AI), and AI-Quantum Co-Optimization. The study, which analyzed 119 papers, concludes that AI-assisted quantum optimization shows promise, while quantum-assisted AI models are largely unproven. The review emphasizes that scaling quantum optimization is a systems engineering problem requiring selective quantum use, with only a few studies isolating quantum contributions or establishing classical baselines.

    2. RIKEN Demonstrates High-Fidelity Simultaneous Control of Silicon Spin Qubits Above 99.9% Threshold

      Researchers at RIKEN and collaborators have achieved high-fidelity simultaneous control of five silicon spin qubits, maintaining over 99.9% accuracy. They overcame crosstalk caused by AC-Stark shifts through a new calibration protocol, enabling the use of a single microwave control line. This breakthrough meets the fault-tolerant threshold for quantum error correction and paves the way for more scalable quantum computers.

    3. Harvard, Anthropic, and QuEra Use LLMs to Discover Quantum Circuits with Up to 9,100x Lower Resource Costs

      Researchers from Harvard, Anthropic, and QuEra Computing developed an AI framework that uses Large Language Models (LLMs) to discover and optimize fault-tolerant quantum circuits. This framework significantly reduces the resource costs of core computational primitives, achieving up to 9,100x lower costs compared to hand-crafted baselines. The LLMs achieved this by proposing complete Python programs for circuits, which were then evaluated and refined through an evolutionary process, leading to the discovery of new co-design principles and circuit architectures.

    4. MIT Physicists Use First-Principles AI to Resolve Non-Abelian Anyon Order at Strong Landau Level Mixing

      MIT researchers used a specialized self-attention neural network to solve complex equations related to quantum particles, confirming the existence of anti-Pfaffian topological states. This breakthrough provides a roadmap for building noise-resistant topological qubits in materials like monolayer WSe2 and semiconductor quantum wells.

    5. D-Wave Demonstrates 3D Analog-Digital Quantum Simulation of Higher-Order Topological Insulators Using 728 Qubits

      D-Wave has successfully demonstrated 3D analog-digital quantum simulation of higher-order topological insulators using up to 728 qubits on an Advantage2 superconducting quantum annealing processor. This achievement, detailed in a research study on arXiv, involved new analog-digital quantum control protocols to measure localized boundary modes and extract 3D bulk topological invariants. This breakthrough confirms the utility of analog-digital quantum annealing hardware as a programmable simulator for condensed matter physics and topological materials.

    6. Open Quantum Launches Native Qrisp Integration for High-Level QPU Execution Across IonQ, Rigetti, IQM, and AQT Hardware

      Open Quantum has launched a native Qrisp integration, enabling high-level QPU execution across IonQ, Rigetti, IQM, and AQT hardware. This allows developers to compile and execute Qrisp programs directly on physical QPUs without writing vendor-specific gate-level code. The integration simplifies quantum programming by providing software-engineering abstractions, automated qubit allocation, and memory management.

    7. Chalmers Next Labs, ConScience, and NQFF Validate Superconducting Qubit Chip Stability Across International Testbeds

      A joint study by Chalmers Next Labs AB, ConScience AB, and Singapore’s National Quantum Federated Foundry (NQFF) validated the stability of a superconducting quantum processor (QiB1) when transported between international research facilities. The study, conducted under the WACQT–NQFF Twin Testbed initiative, confirmed that environmental changes between Gothenburg and Singapore did not degrade the processor’s performance. This collaboration is now being commercialized as a standardized cross-facility measurement service.

    8. MIT Bengaluru Inaugurates Q-HUB@MAHE and Deploys QuantrolOx’s Open-Architecture VIDYAQAR Quantum System

      Manipal Institute of Technology (MIT Bengaluru) has inaugurated the Manipal House of Quantum (Q-HUB@MAHE) in Bengaluru, India, on October 13, 2026. This facility features QuantrolOx’s VIDYAQAR open-architecture quantum system, a 25-qubit-capable dilution refrigeration platform that is part of a national roadmap to scale to over 1,000 qubits. The initiative aims to train 100 quantum engineers by December 2026 and allows researchers to test and benchmark quantum components using custom Python workflows.

    9. Kipu Quantum Demonstrates Neutral-Atom Quantum Feature Extraction for Molecular Toxicity Classification on QuEra Hardware

      Kipu Quantum demonstrated a novel method for molecular toxicity classification using analog quantum feature extraction on QuEra's 256-qubit Aquila neutral-atom quantum processor. This approach, detailed in their technical report, utilizes 200-qubit neutral-atom arrays to generate high-dimensional quantum features. These quantum features significantly improved performance over classical methods, particularly on imbalanced datasets, doubling the F1-score and raising balanced accuracy for drug discovery and chemical safety.

    1. Kipu Quantum and NTT DATA Partner to Scale Enterprise Quantum Computing and QML Applications

      Kipu Quantum and NTT DATA have partnered to advance enterprise quantum computing and QML solutions. The collaboration will integrate quantum algorithms into existing enterprise technology, leveraging Kipu Quantum's expertise in hardware-specific compression techniques. This partnership, which began with a pilot program at Komatsu Peru, aims to develop and deploy commercial algorithms for various applications, including supply chain logistics and financial risk modeling, initially in Latin America and then globally.

    2. University of Oxford Entangles Multi-Species Atom Network and Extends Memory Storage Beyond 10 Seconds

      Physicists at the University of Oxford have developed a quantum network using different atomic elements, strontium and calcium, to create entangled states. They successfully generated up to 4-qubit Greenberger-Horne-Zeilinger (GHZ) states and stored this entanglement in calcium memory qubits for over 10 seconds. This significantly extends entanglement lifetimes, marking a major step forward for distributed quantum computing and sensing.

    3. QuIC Publishes Position Paper Calling for Harmonized EU Dual-Use Controls on Quantum Technologies

      The European Quantum Industry Consortium (QuIC) has published a position paper urging the European Commission to harmonize EU dual-use controls on quantum technologies. They warn that fragmented national implementations of export controls on quantum technologies are causing administrative difficulties, shipment delays, and revenue loss for European quantum companies. QuIC proposes reforms focusing on single market harmonization, expanded allied trade, clearer rules for intangible transfers and cloud access, and differentiated scrutiny for supply chain components to ensure European competitiveness.

    1. EMode Photonix Raises $1M Pre-Seed Round Led by Ground State Ventures for Photonic Circuit Simulation Stack

      EMode Photonix, a quantum integrated photonics software startup, has successfully raised $1 million in pre-seed funding. This investment, led by Ground State Ventures, will enable the company to expand its engineering team and accelerate the development of its enterprise software. EMode Photonix specializes in a multi-physics simulation platform for non-linear integrated photonic circuits, offering significantly faster modeling capabilities for various applications including quantum computing and optical sensing.

    2. Google Quantum AI Demonstrates Magic State Cultivation on Willow Processor in Science Milestone

      Google Quantum AI has successfully demonstrated magic state cultivation on its Willow quantum processor, achieving a 40-fold error reduction and producing T-states with 99.99(1)% logical fidelity. This breakthrough addresses a major bottleneck in fault-tolerant quantum computing by significantly reducing the physical qubit footprint required for generating these essential states, directly validating Google's 2024 cultivation theory framework.

    3. Google Quantum AI & DeepMind Demonstrate Modular Hyperbolic Codes for Over 30x QEC Overhead Reduction

      Researchers from Google Quantum AI, Google DeepMind, and MIT have developed a modular quantum error correction (QEC) architecture that significantly reduces the physical qubit overhead required for quantum computing. This new approach, detailed in a technical manuscript on arXiv, utilizes modular hyperbolic codes to achieve over 30x savings in qubit overhead compared to standard 2D surface codes. The architecture allows for high encoding rates without complex on-chip wiring, demonstrating high tolerance to noise in simulations.

    4. Germany Issues Joint Federal PQC Migration Guidelines to Align with EU Post-Quantum Roadmap

      Germany has released national guidelines for migrating to Post-Quantum Cryptography (PQC), aligning with the EU's roadmap. The strategy, driven by advancements in AI and threats to classical encryption, outlines a three-phase migration timeline, prioritizing high-risk systems by 2030 and aiming for full migration by 2035. This initiative mandates hybrid cryptographic mechanisms and PQC readiness in risk management for critical infrastructure.

    5. IBM Research Automates QEC Decoder Chip Design Using Open AI Agent Factories at 11.5x Lower Inference Cost

      IBM Research has developed an AI agent factory to automate the design of QEC decoder chips, achieving up to 204x hardware speedup and 11.5x lower AI inference costs. This system utilizes autonomous multi-agent search and open-weight models, making QEC chip design more economically practical for fault-tolerant quantum systems. The agent factory explores architectural transformations to optimize decoding algorithms for high-rate qLDPC codes.

    6. FirstQFM Foundation Model Cuts Quantum Gate Times by 33% on QuantWare QPU via NVIDIA Computing

      FirstQFM AB has achieved a 33% reduction in single-qubit gate execution times on QuantWare’s 21-qubit Contralto-D21 superconducting quantum processor, without compromising gate fidelity. This was accomplished using their patented quantum foundation model technology, which integrates with Quantum Machines’ OPX control hardware and QUA calibration stack. The model, developed with NVIDIA’s accelerated computing infrastructure, also improved two-qubit Bell-state fidelities.

    7. Classiq Partners with FreeYa Mind Campus to Launch Quantum Applications Hub in Romania

      Classiq has partnered with FreeYa Mind Campus to open a Quantum Applications Hub in Iași, Romania, which will serve as Classiq's regional headquarters. This hub integrates Classiq's quantum software platform with the campus's IBM Quantum System Two. The collaboration aims to drive quantum software development, education, and enterprise projects across Eastern Europe.

    8. Anderon Releases First Superconducting Quantum PDK for 300mm Wafer Fabrication

      Anderon, a quantum foundry operator, has released its first Superconducting Quantum Process Design Kit (PDK) for 300mm wafer fabrication. This PDK provides standardized design rules and building blocks for manufacturing superconducting quantum devices on their 300mm wafer line at the Albany NanoTech Complex. Anderon, backed by $2 billion in funding, offers various superconducting wafer types, including qubit, I/O signal, and amplifier/filter wafers.

    9. ORCA Computing Launches PT-3 Photonic Quantum System in London for Hybrid AI and Industrial Optimization

      ORCA Computing has launched its PT-3 photonic quantum system in London, integrating it with NVIDIA GPU-accelerated computing infrastructure. This room-temperature system, consuming 6 kW, uses 64 photons across 128 qumodes to enhance classical machine learning models. The PT-3 is designed for generative AI in scientific research and large-scale industrial optimization, demonstrating improved protein designability and a 12x speedup in energy scheduling benchmarks.

    10. DOE ARPA-E Launches $37 Million QC3 Program Across Ten Quantum Chemistry Performers

      The U.S. Department of Energy’s ARPA-E has launched the $37 million Quantum Computing for Computational Chemistry (QC3) program, funding ten research teams for three years. This initiative aims to achieve a 100-fold speedup over classical computation in high-impact energy applications by focusing on full-stack co-design across algorithms, error correction, and quantum hardware. Notably, QuEra Computing is a key hardware and algorithm co-design partner for three of the selected projects.