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Title: A regularization method based on HHL quantum algorithm and Levenberg-Marquardt method (English)
Author: Salehi Shayegan, Amir Hossein
Author: Dejam, Laya
Language: English
Journal: Applications of Mathematics
ISSN: 0862-7940 (print)
ISSN: 1572-9109 (online)
Volume: 71
Issue: 5
Year: 2026
Pages: 651-671
Summary lang: English
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Category: math
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Summary: To achieve exponential speed-up with the Harrow-Hassidim-Lloyd (HHL) quantum algorithm, the condition number of the matrix can scale at most poly-logarithmically with its size. This quantum algorithm significantly outperforms the best classical methods for solving well-conditioned linear systems of equations. However, well-conditioning is a stringent requirement that severely limits the range of problems benefiting from exponential speed-up. In this paper, we introduce a regularization method that combines the HHL quantum algorithm with the Levenberg-Marquardt method to mitigate ill-conditioning and enable exponential speed-up. Specifically, the Levenberg-Marquardt method acts as a regularization method, transforming an ill-conditioned linear system of equations into a sequence of well-conditioned linear systems of equations. The HHL quantum algorithm is then applied to solve these systems efficiently. This approach effectively addresses the ill-conditioning issue while preserving the exponential speed-up advantage. (English)
Keyword: quantum algorithm
Keyword: regularization method
Keyword: Levenberg-Marquardt method
Keyword: ill-posed problem
Keyword: HHL quantum algorithm
MSC: 47A52
MSC: 68Q12
DOI: 10.21136/AM.2026.0193-25
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Date available: 2026-10-12T12:58:32Z
Last updated: 2026-10-19
Stable URL: http://hdl.handle.net/10338.dmlcz/153797
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