Fujitsu today announced that it has developed the world’s first working prototype of a diamond-spin quantum computer incorporating tin-vacancy (SnV) centers into photonic integrated circuits. The prototype can be operated at -271.6°C, higher than the typical operating temperature of superconducting quantum computers (-273.13°C) and Fujitsu has demonstrated in a test environment that it can be utilized via the Fujitsu Hybrid Quantum Computing Platform without any additional specialist knowledge. This development represents an important milestone toward realizing a modular architecture, one of the most promising approaches for scaling quantum computers, due to its high fidelity and efficient optical connectivity.

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The prototype is based on the results of joint research started in 2020 by Fujitsu, Delft University of Technology, and QuTech, a world-leading quantum technology research institute and part of TU Delft.

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Fujitsu is set to develop a prototype of a multi-module diamond-spin quantum computer by 2027. In addition, Fujitsu will begin developing of technologies to integrate diamond-spin approach with superconducting approach, driving progress toward achieving large-scale quantum computers.This initiative comes as part of Fujitsu’s quantum roadmap, which outlines company’s aim to realize practical quantum computing by 2030.

JIJ Inc. and ORCA Computing, in collaboration with bp and the UK’s National Quantum Computing Centre (NQCC), released a white paper demonstrating that hybrid quantum–classical optimisation is moving closer to commercial relevance for one of the energy sector’s most complex operational challenges.

For further details, please refer to the white paper, “Benchmarking Hybrid Approaches to the Unit Commitment Problem”.

The study benchmarks a hybrid quantum-classical approach to the Unit Commitment Problem (UCP), the large-scale optimisation task of determining how and when power plants should operate to meet energy demand at the lowest cost while maintaining system reliability. The results suggest that hybrid quantum-classical optimisation is moving beyond proof-of-concept and towards practical industrial application in energy systems.

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Fujitsu Limited and Daiichi Life Group, Inc. today announced that they conduct joint research from April 2026 to March 2027 to advance asset management operations through the application of quantum technology in the insurance sector.

This joint research will leverage the expertise of Daiichi Life Insurance Co., Ltd., a leading institutional investor in Japan managing approximately 30 trillion yen in assets, by addressing practical challenges in its asset management operations. Both companies will jointly design and develop quantum algorithms to optimize asset allocation across multiple asset classes, such as stocks, bonds, and alternative assets, considering risk-return balance and liability characteristics. They will also conduct performance verification using quantum computer simulators (quantum simulators) and quantum computers.

When making asset allocation decisions, it is necessary to simultaneously consider complex factors such as the balance between risk and return, liability characteristics, regulatory requirements, and investment constraints for each asset class. The two companies aim to conduct more comprehensive and efficient evaluations that take these factors into account under a wide range of economic scenarios, with the goal of researching and analyzing optimal asset allocation strategies.

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JHPC-quantum, promoted by SoftBank and RIKEN, is now accepting applications for its third Test User Program.
In addition to ibm_kobe, Reimei, and Fugaku, a GPU cluster has also been installed this term, further enhancing our computational environment.
We encourage everyone considering research and development using quantum HPC hybrid algorithms to take advantage of this opportunity, and we look forward to your applications!

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