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Autores principales: Lim, Ian T., Kim, Isaac H.
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2508.16826
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author Lim, Ian T.
Kim, Isaac H.
author_facet Lim, Ian T.
Kim, Isaac H.
contents Entanglement is a defining property of quantum systems. For a subsystem of a larger quantum system, one can formally define an operator known as the modular Hamiltonian, which is closely linked to the entanglement properties of that subsystem, and a corresponding operator flow called the modular flow. Algorithms for estimating the von Neumann entropy, the best-known entanglement measure, are well-established, but no equivalent procedures have been previously described for the modular flow. In this work, we briefly review the quantum singular value transform (QSVT) framework for developing quantum algorithms, and then discuss the implementation of modular flow within this framework. We conclude by describing select applications of our modular flow algorithm, such as extracting the chiral central charge of a topologically ordered system and simulating the experience of the bulk observer in holography. We also prove a query complexity lower bound for modular flow, which shows that our method cannot be improved further substantially.
format Preprint
id arxiv_https___arxiv_org_abs_2508_16826
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A quantum algorithm for modular flow
Lim, Ian T.
Kim, Isaac H.
Quantum Physics
Entanglement is a defining property of quantum systems. For a subsystem of a larger quantum system, one can formally define an operator known as the modular Hamiltonian, which is closely linked to the entanglement properties of that subsystem, and a corresponding operator flow called the modular flow. Algorithms for estimating the von Neumann entropy, the best-known entanglement measure, are well-established, but no equivalent procedures have been previously described for the modular flow. In this work, we briefly review the quantum singular value transform (QSVT) framework for developing quantum algorithms, and then discuss the implementation of modular flow within this framework. We conclude by describing select applications of our modular flow algorithm, such as extracting the chiral central charge of a topologically ordered system and simulating the experience of the bulk observer in holography. We also prove a query complexity lower bound for modular flow, which shows that our method cannot be improved further substantially.
title A quantum algorithm for modular flow
topic Quantum Physics
url https://arxiv.org/abs/2508.16826