Fujitsu Quantum Computer 64 qubit chip, 256 qubits, 10000 qubits, error corrected roadmap

Posted by – December 6, 2025
Category: Exclusive videos

Fujitsu’s quantum lab researcher Joey Sha-Leo walks through a half-scale mockup of the company’s 64-qubit superconducting quantum computer, explaining how the qubit chip sits at the base of the system while layers of cryogenic electronics and filters fan out above it to route and condition microwave signals. He connects this demonstrator to Fujitsu’s broader roadmap, from its currently deployed 256-qubit system to a 1,000-qubit machine planned around 2026 and a 10,000-plus-qubit platform targeting roughly 250 logical qubits by 2030. https://global.fujitsu/en-global/technology/research/quantum


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The video demystifies why superconducting quantum hardware has to look like a golden chandelier hanging inside a large cylinder. The 64-qubit chip is operated at about 20 millikelvin inside a dilution refrigerator, colder than deep space, with cascaded cryogenic amplifiers, low-pass and band-pass filters, and high-electron-mobility (HEMT) amplifiers mounted at different temperature stages. On the chip itself, qubits are laid out in an 8×8 nearest-neighbor lattice, a topology that Fujitsu already tiles into a 256-qubit device and expects to reuse as it scales wiring density and thermal management for larger systems within the same cryogenic stack.

Joey also highlights the algorithm-to-device gap: practical quantum advantage will only come when application developers and hardware designers co-evolve the full stack. Fujitsu’s research group explores chemistry and catalyst discovery workloads, quantum algorithms for optimization and data analysis, and hybrid quantum-classical workflows that can run on today’s noisy intermediate-scale devices while preparing for error-corrected machines. In this short booth conversation recorded at the SC25 Supercomputing Conference in St Louis, the focus stays on how each design decision in the hardware constrains and enables real algorithms rather than on abstract performance claims for the industry.

Finally, the discussion returns to what it means to move from 64 physical qubits today to thousands of physical qubits and hundreds of logical qubits later in the decade. By layering quantum error-correcting codes on top of a scalable lattice and carefully engineering cryogenic stability, Fujitsu aims to reach the threshold where around 250 logical qubits become available for meaningful simulations in materials science, catalysis, and optimization. The roadmap shared here is not presented as science fiction but as a staged engineering path from current prototypes toward practical, fault-tolerant quantum computing.

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