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Matrix Encoding Method in Variational Quantum Singular Value Decomposition Cover

Matrix Encoding Method in Variational Quantum Singular Value Decomposition

Open Access
|Aug 2025

Abstract

We propose the variational quantum singular value decomposition based on encoding the elements of the considered N × N matrix into the state of a quantum system of appropriate dimension. This method doesn’t use the expansion of this matrix in terms of the unitary matrices. Controlled measurement is involved to avoid small success probability in ancilla measurement. The objective function for maximization algorithm can be obtained probabilistically via measurement of the states of two one-qubit subsystems. The circuit requires O(log N) qubits for realization of this algorithm whose depths is proportional to log N/ε, where ε is the precision required for calculation of singular values.

DOI: https://doi.org/10.2478/qic-2025-0020 | Journal eISSN: 3106-0544 | Journal ISSN: 1533-7146
Language: English
Page range: 356 - 368
Submitted on: Apr 14, 2025
Accepted on: Jul 1, 2025
Published on: Aug 22, 2025
Published by: Cerebration Science Publishing Co., Limited
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Alexander I. Zenchuk, Wentao Qi, Junde Wu, published by Cerebration Science Publishing Co., Limited
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.