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Xanadu and Mitsubishi Chemical Use Quantum Algorithms to Fix EUV Blurring

The partnership targets radiation-induced blurring in photoresists to push the boundaries of semiconductor miniaturization.

TechNewsReel Newsroom · August 25, 2026

Xanadu Quantum Technologies has partnered with Mitsubishi Chemical to develop quantum algorithms designed to solve a critical bottleneck in semiconductor manufacturing. The initiative focuses on optimizing the simulation of extreme ultraviolet (EUV) lithography to enable more precise chip miniaturization.

The collaboration specifically targets the modeling of light-matter interactions and radiation-induced blurring within photoresists. By integrating quantum simulations into Mitsubishi Chemical's existing semiconductor models, the partners aim to predict and prevent the blurring effects that currently hinder the production of smaller, more dense integrated circuits. This research is supported by Japan's Strategic Innovation Promotion Program (SIP) and the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP).

The Challenge of EUV Lithography

Extreme ultraviolet lithography is the industry standard for printing the smallest features on modern chips, but it introduces significant computational challenges. Classical computers often struggle to accurately simulate the complex quantum-level interactions between EUV light and the chemical photoresists used to etch patterns onto silicon wafers. When these interactions are not perfectly controlled, radiation-induced blurring occurs, limiting how small a transistor can be shrunk without losing structural integrity or performance.

Implications for Chip Production

If these quantum algorithms can successfully model and mitigate blurring, the impact on the semiconductor industry would be substantial. Reducing defects at the lithography stage directly increases manufacturing yields, which lowers the overall cost of production. Furthermore, overcoming this specific technical hurdle allows for the continued scaling of Moore's Law, potentially leading to a new generation of faster, more energy-efficient hardware for everything from mobile devices to artificial intelligence data centers.

The Path Forward

While the development of these algorithms marks a significant step toward practical quantum utility in materials science, the industry is now watching for the integration of these simulations into full-scale production environments. The success of the Xanadu and Mitsubishi Chemical project will likely serve as a blueprint for how photonic quantum computing and specialized software can be applied to other high-cost optimization problems in the chemical and semiconductor sectors.

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