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Exhibition Program
Science of Machine Learning
06

Crafting noises in quantum computing!

Reshaping noises to improve accuracy of quantum computation

Crafting noises in quantum computing!
Abstract

Quantum computers face challenges due to various types of noise during calculations. Although many suppression methods have been proposed, it is difficult to control noise when its "shape" is irregular. This study introduces a method to reshape the noise by adding artificial noise to naturally occurring noise. We devised a way to add artificial noise that minimizes the reshaped noise. By reshaping the noise, it becomes easier to suppress, and the overall noise can be significantly reduced. These combined effects are expected to greatly improve the accuracy of quantum calculations. Enhanced precision in quantum computing could enable large-scale, complex calculations and simulations, potentially solving major issues in fields such as pharmaceuticals, logistics, healthcare, and scientific technology. This research outcome is anticipated to pave the way for quantum computers to contribute to a richer future society.

Crafting noises in quantum computing!
References

[1] N. Yoshioka, S. Akibue, H. Morisaki, K. Tsubouchi, Y. Suzuki, “Error crafting in mixed quantum gate synthesis”, arXiv, 2405.15565, 2025.

Poster
Contact

Seiseki Akibue, Computing Theory Research Group, Media Information Laboratory

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