Machine Learning Approaches to Building Quantum Circuits for Sets of Matrices

Matvei Fedin; Andrei Morozov

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arXiv · 2605.06633

Machine Learning Approaches to Building Quantum Circuits for Sets of Matrices

Matvei Fedin·Andrei Morozov

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Abstract

Machine learning nowadays becomes a useful instrument in many subjects. In this paper we use interpretable machine learning to build quantum algorithm. By studying the parameters of the machine learning algorithm we were able to construct universal shortest analytic quantum algorithm for arbitrary diagonal matrix of any size.

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BibTeX RIS

Matvei Fedin, Andrei Morozov. 2026-05-07. Machine Learning Approaches to Building Quantum Circuits for Sets of Matrices. https://arxiv.org/abs/2605.06633

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