In a significant leap forward for quantum computing, Fujitsu has officially commenced research and development for a superconducting quantum computer with a capacity exceeding 10,000 qubits. The ambitious project aims for completion by fiscal year 2030 and represents a major stride toward realizing the practical application of quantum technology.
The new machine, which will leverage Fujitsu’s proprietary “STAR architecture” for early-stage fault-tolerant quantum computing (early-FTQC), is designed to operate with 250 logical qubits. This represents a substantial increase in computational power, moving beyond the current noisy intermediate-scale quantum (NISQ) era. Superconducting quantum computers operate at near absolute zero temperatures to maintain the delicate quantum states of their qubits, which are the fundamental units of quantum information.
This initiative is part of a broader collaboration with Japan’s New Energy and Industrial Technology Development Organization (NEDO), the National Institute of Advanced Industrial Science and Technology (AIST), and RIKEN. The consortium is focused on advancing quantum computer development for industrial applications. Fujitsu’s research will tackle several key technological challenges, including manufacturing high-precision qubits, developing interconnect technology to link multiple chips, and creating high-density packaging and low-cost control systems to manage the intense cryogenic cooling requirements.
The development of the 10,000-qubit machine builds on Fujitsu’s previous successes, which include the unveiling of a 256-qubit superconducting system in April 2025. The company’s long-term roadmap extends even further, with a goal of achieving a 1,000 logical qubit machine by 2035, potentially by integrating different types of qubits, such as superconducting and diamond spin-based systems.
By focusing on a full-stack approach that combines hardware, software, and error correction, Fujitsu aims to create a powerful computing platform that seamlessly integrates with classical supercomputers. This hybrid model will be crucial for solving complex problems in fields like materials science and drug discovery, areas where quantum computing promises to unlock innovative discoveries that are beyond the reach of today’s most powerful conventional computers.









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