Japan Quantum Workforce Gains 80+ Professionals

More than 80 professionals have completed a six-month training program designed to expand Japan’s quantum computing workforce, a collaboration between PsiQuantum, the University of Tokyo, and Mitsubishi Chemical Corporation. The initiative, funded through NEDO’s Post-5G Information and Communication Systems program (2025, 2027), focuses on preparing industry for the arrival of fault-tolerant quantum computers, a critical step beyond current research. Mitsubishi Chemical Corporation is contributing industrial use cases in chemistry and materials science, broadening the scope of quantum application development beyond financial modeling. “Fault-tolerant quantum computers will only reach their full potential if we are prepared to use them effectively once they are built and deployed,” said Victor Peng, PsiQuantum Interim Chief Executive Officer. This program signals a commitment to building a sustainable quantum innovation ecosystem within Japan.

Japan’s Quantum Workforce: PsiQuantum, University of Tokyo, Mitsubishi Partnership

Participants, drawn from over 20 companies operating within Japan, are receiving instruction focused on the fundamentals of fault-tolerant quantum computing and gaining practical experience with tools like Construct, PsiQuantum’s platform for algorithm design and optimization. The partnership combines academic rigor with industrial relevance; the University of Tokyo leads the curriculum, while Mitsubishi Chemical Corporation contributes crucial industrial use cases in chemistry and materials science. This focused application area differentiates Japan’s approach from more common explorations in finance and optimization, reflecting a strategic alignment with key Japanese industries and a desire to translate quantum capabilities into economic benefits. The collaboration will expand to include joint research and development efforts over the next two years, with a shared objective of preparing for deployment on fault-tolerant quantum computers.

Takeshi Sato, University of Tokyo Associate Professor, emphasized the necessity of bridging the gap between quantum technologies and real-world challenges, stating, “Developing human resources capable of connecting quantum technologies with real-world challenges is essential for the advancement of quantum computing.” Qi Gao, Mitsubishi Chemical Corporation Distinguished Scientist, added, “Quantum computing has the potential to significantly accelerate innovation in chemistry and materials science,” underscoring the anticipated impact of this program on industrial advancement.

Construct Platform & Six-Month Training for Fault-Tolerant Quantum Computing

This collaborative effort addresses a critical need; as quantum computers move closer to practical application, a shortage of skilled personnel threatens to impede progress. The program uniquely combines academic rigor with practical industrial applications, preparing participants for the challenges of utilizing this emerging technology. Central to the training is access to Construct, PsiQuantum’s secure platform designed for the end-to-end process of algorithm design, analysis, and optimization for fault-tolerant quantum computing. Participants gain hands-on experience with this advanced tool while exploring potential use cases across various sectors, with Mitsubishi Chemical Corporation specifically contributing industrial applications in chemistry and materials science. This focus distinguishes the program from those prioritizing finance or optimization, highlighting a targeted approach to quantum computing’s potential within Japan’s industrial landscape.

Developing human resources capable of connecting quantum technologies with real-world challenges is essential for the advancement of quantum computing.

Takeshi Sato, University of Tokyo Associate Professor
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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