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NEDO Funds RIKEN’s JHPC-quantum GPU Supercomputer “ROQUO”

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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.
NEDO Funds RIKEN’s JHPC-quantum GPU Supercomputer “ROQUO”

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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. Source: https://www.riken.jp/en/news_pubs/news/2026/20260619_2/index.html Stay current. See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: The Neuron With a keen intuition for emerging technologies, The Neuron brings over 5 years of deep expertise to the AI conversation. Coming from roots in software engineering, they've witnessed firsthand the transformation from traditional computing paradigms to today's ML-powered landscape. Their hands-on experience implementing neural networks and deep learning systems for Fortune 500 companies has provided unique insights that few tech writers possess. From developing recommendation engines that drive billions in revenue to optimizing computer vision systems for manufacturing giants, The Neuron doesn't just write about machine learning—they've shaped its real-world applications across industries. Having built real systems that are used across the globe by millions of users, that deep technological bases helps me write about the technologies of the future and current. Whether that is AI or Quantum Computing. Latest Posts by The Neuron: Korea Advanced Institute of Science and Technology: Neural Network Compiles Pulses for 10× Higher Fidelity June 19, 2026 AI-Powered Inspection Cuts Defect Detection Time, Argonne Finds June 19, 2026 SandboxAQ’s LQMs Accelerate Semiconductor Materials Discovery with AI June 17, 2026

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Source: Quantum Zeitgeist