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MiS Preprint Repository

We have decided to discontinue the publication of preprints on our preprint server as of 1 March 2024. The publication culture within mathematics has changed so much due to the rise of repositories such as ArXiV (www.arxiv.org) that we are encouraging all institute members to make their preprints available there. An institute's repository in its previous form is, therefore, unnecessary. The preprints published to date will remain available here, but we will not add any new preprints here.

MiS Preprint
7/2024

Coherence dynamics in quantum algorithm for linear systems of equations

Linlin Ye, Zhaoqi Wu and Shao-Ming Fei

Abstract

Quantum coherence is a fundamental issue in quantum mechanics and quantum information precessing. We explore the coherence dynamics of the evolved states in HHL quantum algorithm for solving the linear system of equation $A\overrightarrow{x}=\overrightarrow{b}$. By using Tsallis relative $\alpha$ entropy of coherence and the $l_{1,p}$ norm of coherence, we show that the operator coherence of the phase estimation $P$ relies on the coefficients $\beta_{i}$ obtained by decomposing $|b\rangle$ in the eigenbasis of $A$. We prove that the operator coherence of the inverse phase estimation $\widetilde{P}$ relies on the coefficients $\beta_{i}$, eigenvalues of $A$ and the success probability $P_{s}$, and it decreases with the increase of the probability when $\alpha\in(1,2]$. Moreover, the variations of coherence deplete with the increase of the success probability and rely on the eigenvalues of $A$ as well as the success probability.

Received:
Jan 11, 2024
Published:
Jan 11, 2024

Related publications

inJournal
2023 Repository Open Access
Linlin Ye, Zhaoqi Wu and Shao-Ming Fei

Coherence dynamics in quantum algorithm for linear systems of equations

In: Physica scripta, 98 (2023) 12, p. 125104