Exponential quantum advantages for practical non-Hermitian eigenproblems

Fuente: arXiv
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Main Authors: Zhang, Xiao-Ming, Zhang, Yukun, He, Wenhao, Yuan, Xiao
Format: Preprint
Published: 2024
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author Zhang, Xiao-Ming
Zhang, Yukun
He, Wenhao
Yuan, Xiao
author_facet Zhang, Xiao-Ming
Zhang, Yukun
He, Wenhao
Yuan, Xiao
contents Non-Hermitian physics has emerged as a rich field of study, with applications ranging from $PT$-symmetry breaking and skin effects to non-Hermitian topological phase transitions. Yet most studies remain restricted to small-scale or classically tractable systems. While quantum computing has shown strong performance in Hermitian eigenproblems, its extension to the non-Hermitian regime remains largely unexplored. Here, we develop a quantum algorithm to address general non-Hermitian eigenvalue problems, specifically targeting eigenvalues near a given line in the complex plane -- thereby generalizing previous results on ground state energy and spectral gap estimation for Hermitian matrices. Our method combines a fuzzy quantum eigenvalue detector with a divide-and-conquer strategy to efficiently isolate relevant eigenvalues. This yields a provable exponential quantum speedup for non-Hermitian eigenproblems. Furthermore, we discuss the broad applications in detecting spontaneous $PT$-symmetry breaking, estimating Liouvillian gaps, and analyzing classical Markov processes. These results highlight the potential of quantum algorithms in tackling challenging problems across quantum physics and beyond.
format Preprint
id arxiv_https___arxiv_org_abs_2401_12091
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Exponential quantum advantages for practical non-Hermitian eigenproblems
Zhang, Xiao-Ming
Zhang, Yukun
He, Wenhao
Yuan, Xiao
Quantum Physics
Mesoscale and Nanoscale Physics
Data Structures and Algorithms
Numerical Analysis
Computational Physics
Non-Hermitian physics has emerged as a rich field of study, with applications ranging from $PT$-symmetry breaking and skin effects to non-Hermitian topological phase transitions. Yet most studies remain restricted to small-scale or classically tractable systems. While quantum computing has shown strong performance in Hermitian eigenproblems, its extension to the non-Hermitian regime remains largely unexplored. Here, we develop a quantum algorithm to address general non-Hermitian eigenvalue problems, specifically targeting eigenvalues near a given line in the complex plane -- thereby generalizing previous results on ground state energy and spectral gap estimation for Hermitian matrices. Our method combines a fuzzy quantum eigenvalue detector with a divide-and-conquer strategy to efficiently isolate relevant eigenvalues. This yields a provable exponential quantum speedup for non-Hermitian eigenproblems. Furthermore, we discuss the broad applications in detecting spontaneous $PT$-symmetry breaking, estimating Liouvillian gaps, and analyzing classical Markov processes. These results highlight the potential of quantum algorithms in tackling challenging problems across quantum physics and beyond.
title Exponential quantum advantages for practical non-Hermitian eigenproblems
topic Quantum Physics
Mesoscale and Nanoscale Physics
Data Structures and Algorithms
Numerical Analysis
Computational Physics
url https://arxiv.org/abs/2401.12091