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Author

Hayata Yamasaki

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Preprint Sep 2026

Sparse-Blossom Decoding in $o(1)$ Time

A rigorous parallelization framework is presented and it is proved that the resulting parallel sparse-blossom algorithm produces the same correction as the original, non-parallel sparse blossom.

Ryohei Mikami, Hayata Yamasaki · 0 citations
#machine learning Preprint Sep 2026

A Quantum-Inspired Dequantization Method for Diagonally Weighted Matrix Functions: Application to Learning with Optimized Random Features

The results show that the factorization underlying a quantum block encoding can itself provide sufficient classical structure even when sampling-and-query access to the composite matrix is unavailable, suggesting a classical sampler with prescribed accuracy and polynomially related runtime.

Natsuto Isogai, M. Murao, Hayata Yamasaki · 0 citations

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