Variational quantum algorithms for scanning the complex spectrum of non-Hermitian systems

Fuente: arXiv
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Main Authors: Xie, Xu-Dan, Xue, Zheng-Yuan, Zhang, Dan-Bo
Format: Preprint
Published: 2023
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author Xie, Xu-Dan
Xue, Zheng-Yuan
Zhang, Dan-Bo
author_facet Xie, Xu-Dan
Xue, Zheng-Yuan
Zhang, Dan-Bo
contents Solving non-Hermitian quantum many-body systems on a quantum computer by minimizing the variational energy is challenging as the energy can be complex. Here, based on energy variance, we propose a variational method for solving the non-Hermitian Hamiltonian, as zero variance can naturally determine the eigenvalues and the associated left and right eigenstates. Moreover, the energy is set as a parameter in the cost function and can be tuned to obtain the whole spectrum, where each eigenstate can be efficiently obtained using a two-step optimization scheme. Through numerical simulations, we demonstrate the algorithm for preparing the left and right eigenstates, verifying the biorthogonal relations, as well as evaluating the observables. We also investigate the impact of quantum noise on our algorithm and show that its performance can be largely improved using error mitigation techniques. Therefore, our work suggests an avenue for solving non-Hermitian quantum many-body systems with variational quantum algorithms on near-term noisy quantum computers.
format Preprint
id arxiv_https___arxiv_org_abs_2305_19807
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Variational quantum algorithms for scanning the complex spectrum of non-Hermitian systems
Xie, Xu-Dan
Xue, Zheng-Yuan
Zhang, Dan-Bo
Quantum Physics
Solving non-Hermitian quantum many-body systems on a quantum computer by minimizing the variational energy is challenging as the energy can be complex. Here, based on energy variance, we propose a variational method for solving the non-Hermitian Hamiltonian, as zero variance can naturally determine the eigenvalues and the associated left and right eigenstates. Moreover, the energy is set as a parameter in the cost function and can be tuned to obtain the whole spectrum, where each eigenstate can be efficiently obtained using a two-step optimization scheme. Through numerical simulations, we demonstrate the algorithm for preparing the left and right eigenstates, verifying the biorthogonal relations, as well as evaluating the observables. We also investigate the impact of quantum noise on our algorithm and show that its performance can be largely improved using error mitigation techniques. Therefore, our work suggests an avenue for solving non-Hermitian quantum many-body systems with variational quantum algorithms on near-term noisy quantum computers.
title Variational quantum algorithms for scanning the complex spectrum of non-Hermitian systems
topic Quantum Physics
url https://arxiv.org/abs/2305.19807