Approximation of the Nearest Classical-Classical State to a Quantum State

Fuente: arXiv
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Auteurs principaux: BingZe-Lu, Lin, Matthew M., YuChen-Shu
Format: Preprint
Publié: 2023
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author BingZe-Lu
Lin, Matthew M.
YuChen-Shu
author_facet BingZe-Lu
Lin, Matthew M.
YuChen-Shu
contents The capacity of quantum computation exceeds that of classical computers. A revolutionary step in computation is driven by quantumness or quantum correlations, which are permanent in entanglements but often in separable states; therefore, quantifying the quantumness of a state in a quantum system is an important task. The exact quantification of quantumness is an NP-hard problem; thus, we consider alternative approaches to approximate it. In this paper, we take the Frobenius norm to establish an objective function and propose a gradient-driven descent flow on Stiefel manifolds to determine the quantity. We show that the objective value decreases along the flow by proofs and numerical results. Besides, the method guarantees the ability to decompose quantum states into tensor products of certain structures and maintain basic quantum assumptions. Finally, the numerical results eventually confirm the applicability of our method in real-world settings.
format Preprint
id arxiv_https___arxiv_org_abs_2301_09316
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Approximation of the Nearest Classical-Classical State to a Quantum State
BingZe-Lu
Lin, Matthew M.
YuChen-Shu
Quantum Physics
Optimization and Control
The capacity of quantum computation exceeds that of classical computers. A revolutionary step in computation is driven by quantumness or quantum correlations, which are permanent in entanglements but often in separable states; therefore, quantifying the quantumness of a state in a quantum system is an important task. The exact quantification of quantumness is an NP-hard problem; thus, we consider alternative approaches to approximate it. In this paper, we take the Frobenius norm to establish an objective function and propose a gradient-driven descent flow on Stiefel manifolds to determine the quantity. We show that the objective value decreases along the flow by proofs and numerical results. Besides, the method guarantees the ability to decompose quantum states into tensor products of certain structures and maintain basic quantum assumptions. Finally, the numerical results eventually confirm the applicability of our method in real-world settings.
title Approximation of the Nearest Classical-Classical State to a Quantum State
topic Quantum Physics
Optimization and Control
url https://arxiv.org/abs/2301.09316