University of Osaka Integrates Domestic Superconducting Quantum Processors with OCTOPUS Supercomputer via SEAFOOD Platform

quantumcomputingreport.com Nov 14, 2026

University of Osaka Integrates Domestic Superconducting Quantum Processors with OCTOPUS Supercomputer via SEAFOOD Platform

Curated by Shubham · TechCapsules · Nov 14, 2026

AI-summarised brief · reviewed before publication

Researchers at the University of Osaka’s D3 Center and QIQB have created SEAFOOD, a hybrid platform that links the campus’s OCTOPUS supercomputer with domestically built superconducting quantum processors on separate sites. The system, slated to launch in December 2026, will partition workloads so classical nodes handle large‑scale Hamiltonian construction while quantum processors sample key electron configurations. Up to ten research teams will pilot the architecture in fiscal 2027, with broader access planned under Japan’s national JHPC‑quantum initiative. The project receives support from JST, MEXT, CSTI, and NEDO.

💡 Why It Matters

· SEAFOOD demonstrates a practical pathway for combining classical and quantum resources within a single institution, potentially accelerating drug discovery and materials design.
· Its success could set a benchmark for nationwide quantum‑supercomputer integration.

Capsules Quantum Computing

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QodeX Quantum, NVIDIA, RTX BBN, and U.S. Navy Researchers Forecast Unstructured PDEs…

A collaborative team comprising QodeX Quantum, the University of South Carolina, the Naval Surface Warfare Center Panama City Division, NVIDIA, and RTX BBN has demonstrated gradient‑free forecasting of nonlinear partial differential equations on unstructured engineering meshes using up to 52 qubits of an IBM Quantum Heron r3 processor. The hybrid quantum reservoir network (QRN) ran circuits up to 24 × the median qubit coherence time and cut forecast error by 21‑41 % versus classical latent linear baselines on physical hardware. By pairing a pretrained graph‑neural‑network autoencoder with a fixed, untrained quantum reservoir split into memory and readout registers, the approach decouples complex boundary geometry from circuit topology. Data‑reuploading rotations, partial‑SWAP couplings, and mid‑circuit measurement/reset create a tunable fading memory that sustains evolution for up to 28 × median T1 and 24 × median T2. In ten‑step autoregressive rollouts on a cylinder‑flow dataset, hardware noise acted as a regularizer, achieving a test NRMSE of 0.257, far better than noiseless simulation (0.707) and a classical persistence baseline (1.126). The work also validates modules of QodeX’s AlphaPsi quantum workflow platform, with code and the full preprint released openly.

💡 Demonstrating reliable PDE forecasting on noisy, unstructured quantum hardware shows a viable path for quantum‑accelerated fluid‑dynamics simulations beyond idealized grids, potentially reshaping high‑fidelity engineering analysis.

quantumcomputingreport.com · Nov 14

German Aerospace Center (DLR) Researchers Demonstrate Low-Cost Benchmarked-Noise Error Mitigation Across 100-Qubit…

Researchers at Germany’s Aerospace Center (DLR) have unveiled a new quantum error‑mitigation protocol called randomized benchmarked‑noise zero‑noise extrapolation (bnZNE). The technique refines expectation‑value estimates without expanding the total number of measurement shots, addressing systematic bias that arises in standard zero‑noise extrapolation (ZNE) at large scales. Validation experiments were run on IBM’s 156‑qubit Heron r2 processor and IQM’s 54‑qubit Emerald device, covering workloads of up to 100 qubits and two‑qubit gate depths of 452. bnZNE pairs each randomized circuit with a compiled twin that preserves the exact gate layout while constraining state evolution to a classically tractable bitstring, and incorporates Pauli twirling, dynamical decoupling, and twirled readout error extinction. Across all tested single‑qubit observables and two‑qubit correlation decay benchmarks, bnZNE outperformed standard ZNE, revealing circuit depth as a stronger determinant of mitigation accuracy than overall circuit size. The work is documented in an arXiv preprint, supported by the DLR Quantum Computing Initiative, the German Federal Ministry of Research, Technology and Space, and the EU Horizon Europe Q‑Neko program, with code released on GitHub.

💡 By anchoring extrapolation to actual hardware noise, bnZNE offers a scalable path to more reliable quantum computations on today’s noisy intermediate‑scale quantum (NISQ) devices.

quantumcomputingreport.com · Nov 14

Atom Computing Finalizes $100 Million U.S. Department of Commerce R&D Agreement for…

Atom Computing, a developer of neutral‑atom quantum computers, has secured a contract with the U.S. Department of Commerce that could provide up to $100 million for research and development. The agreement, which follows a prior Letter of Intent, funds hardware engineering and manufacturing scale‑up at the company’s Boulder, Colorado facility. The funding is aimed at improving optical trapping stability, laser subsystem performance, and component tolerances needed to move neutral‑atom processors from laboratory testbeds to data‑center‑ready, fault‑tolerant quantum systems. Expanded engineering infrastructure will allow Atom Computing to run multiple architectural iterations in parallel, accelerating the transition to repeatable commercial production of logical‑qubit architectures. CEO Ben Bloom said the capital is essential as federal and enterprise demand for utility‑scale quantum computing rises.

💡 Federal backing now ties a major quantum hardware effort directly to emerging commercial markets, fast‑tracking the shift from experimental labs to deployable quantum services.

quantumcomputingreport.com · Nov 14

JIJ Launches SQOA Solver in IBM Quantum Functions Catalog to Tackle Combinatorial…

Tokyo‑based JIJ Inc. has added its SQOA Solver to the IBM Quantum Functions Catalog, allowing users of IBM Quantum Premium, Flex, and On‑Prem plans to tackle combinatorial optimization problems with more decision variables than physical qubits. The solver, built on the Sampling‑based Quantum Optimization Algorithm with Quantum Relaxation (SQOA‑QR), compresses variables onto shared qubits and uses classical subspace diagonalization to avoid iterative variational loops. It accepts OMMX instances via JIJ’s JijModeling 2 library and outputs feasible classical solutions after post‑processing.

💡 By enabling larger problem sizes on current quantum hardware, the SQOA Solver expands practical use cases for quantum optimization, bridging the gap between classical models and noisy intermediate‑scale quantum devices.

quantumcomputingreport.com · Nov 14

JIJ Expands Quantum-HPC and Industrial R&D Collaborations with Mitsubishi Electric, Q-CTRL, and…

JIJ Inc., a provider of quantum and mathematical optimization software, announced three collaborations that combine its hybrid algorithmic stack with industry partners. The company and Mitsubishi Electric were selected for Japan’s JHPC‑quantum Test User Program, a NEDO‑backed Post‑5G initiative, to assess hybrid linear‑system solvers for large‑scale thermal‑fluid simulations in transportation, electronics and climate‑control engineering. In a separate effort, JIJ and quantum‑infrastructure firm Q‑CTRL earned an Outstanding Research Award in the Society 5.0 category of NEDO Challenge Season 1 for testing hybrid distribution‑network reconfiguration algorithms on physical quantum processors. The third partnership formalizes JIJ’s April 2026 work with precision‑health startup Tinuviel Therapeutics under the Wellcome Leap FORM program to model microbial community dynamics under stress. Press releases link to each project for reference.

💡 By pairing quantum‑ready solvers with real‑world engineering and biotech workloads, JIJ is turning abstract quantum advantage into measurable performance gains across critical sectors.

quantumcomputingreport.com · Nov 14

Quantum XChange Phio TX Becomes First Post-Quantum Cryptographic Management Platform to Earn…

Quantum XChange’s Phio TX‑V cryptographic‑management platform (v4.5.6) has been awarded the European Union Cybersecurity Certification (EUCC), making it the first post‑quantum cryptography (PQC) solution to hold both EUCC and U.S. FIPS validation. The EUCC, administered under the Common Criteria framework, confirms that Phio TX meets standardized third‑party testing requirements for ICT products used in regulated EU networks. The software acts as a crypto‑agile overlay, separating key generation and distribution from data transport, allowing enterprises to add PQC algorithms and quantum‑key‑distribution interfaces without replacing existing hardware. Executives from Quantum XChange and Spanish telecom operator Evolutio said the dual certification streamlines procurement and supports cross‑border data‑sovereignty mandates for financial firms, telecom carriers and government agencies. The ENISA‑issued certificate and supporting documentation are publicly available.

💡 Dual EUCC and FIPS validation gives buyers a single, trusted benchmark for PQC tools, accelerating adoption in regulated sectors that must meet both European and U.S. security standards.