Unitary-coupled restricted Boltzmann machine ansatz for quantum simulations

Abstract Neural-network quantum state (NQS) has attracted significant interests as a powerful wave-function ansatz to model quantum phenomena. In particular, a variant of NQS based on the restricted Boltzmann machine (RBM) has been adapted to model the ground state of spin lattices and the electroni...

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Autores principales: Chang Yu Hsieh, Qiming Sun, Shengyu Zhang, Chee Kong Lee
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/e700190ebe7e4248bb318525bc0e1341
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spelling oai:doaj.org-article:e700190ebe7e4248bb318525bc0e13412021-12-02T14:16:07ZUnitary-coupled restricted Boltzmann machine ansatz for quantum simulations10.1038/s41534-020-00347-12056-6387https://doaj.org/article/e700190ebe7e4248bb318525bc0e13412021-01-01T00:00:00Zhttps://doi.org/10.1038/s41534-020-00347-1https://doaj.org/toc/2056-6387Abstract Neural-network quantum state (NQS) has attracted significant interests as a powerful wave-function ansatz to model quantum phenomena. In particular, a variant of NQS based on the restricted Boltzmann machine (RBM) has been adapted to model the ground state of spin lattices and the electronic structures of small molecules in quantum devices. Despite these progresses, significant challenges remain with the RBM-NQS-based quantum simulations. In this work, we present a state-preparation protocol to generate a specific set of complex-valued RBM-NQS, which we name the unitary-coupled RBM-NQS, in quantum circuits. Our proposal expands the applicability of NQS as prior works deal exclusively with real-valued RBM-NQS for quantum algorithms. With this scheme, we achieve (1) modeling complex-valued wave functions, (2) using as few as one ancilla qubit to simulate M hidden spins in an RBM architecture, and (3) avoiding post-selections to improve scalability.Chang Yu HsiehQiming SunShengyu ZhangChee Kong LeeNature PortfolioarticlePhysicsQC1-999Electronic computers. Computer scienceQA75.5-76.95ENnpj Quantum Information, Vol 7, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Physics
QC1-999
Electronic computers. Computer science
QA75.5-76.95
spellingShingle Physics
QC1-999
Electronic computers. Computer science
QA75.5-76.95
Chang Yu Hsieh
Qiming Sun
Shengyu Zhang
Chee Kong Lee
Unitary-coupled restricted Boltzmann machine ansatz for quantum simulations
description Abstract Neural-network quantum state (NQS) has attracted significant interests as a powerful wave-function ansatz to model quantum phenomena. In particular, a variant of NQS based on the restricted Boltzmann machine (RBM) has been adapted to model the ground state of spin lattices and the electronic structures of small molecules in quantum devices. Despite these progresses, significant challenges remain with the RBM-NQS-based quantum simulations. In this work, we present a state-preparation protocol to generate a specific set of complex-valued RBM-NQS, which we name the unitary-coupled RBM-NQS, in quantum circuits. Our proposal expands the applicability of NQS as prior works deal exclusively with real-valued RBM-NQS for quantum algorithms. With this scheme, we achieve (1) modeling complex-valued wave functions, (2) using as few as one ancilla qubit to simulate M hidden spins in an RBM architecture, and (3) avoiding post-selections to improve scalability.
format article
author Chang Yu Hsieh
Qiming Sun
Shengyu Zhang
Chee Kong Lee
author_facet Chang Yu Hsieh
Qiming Sun
Shengyu Zhang
Chee Kong Lee
author_sort Chang Yu Hsieh
title Unitary-coupled restricted Boltzmann machine ansatz for quantum simulations
title_short Unitary-coupled restricted Boltzmann machine ansatz for quantum simulations
title_full Unitary-coupled restricted Boltzmann machine ansatz for quantum simulations
title_fullStr Unitary-coupled restricted Boltzmann machine ansatz for quantum simulations
title_full_unstemmed Unitary-coupled restricted Boltzmann machine ansatz for quantum simulations
title_sort unitary-coupled restricted boltzmann machine ansatz for quantum simulations
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/e700190ebe7e4248bb318525bc0e1341
work_keys_str_mv AT changyuhsieh unitarycoupledrestrictedboltzmannmachineansatzforquantumsimulations
AT qimingsun unitarycoupledrestrictedboltzmannmachineansatzforquantumsimulations
AT shengyuzhang unitarycoupledrestrictedboltzmannmachineansatzforquantumsimulations
AT cheekonglee unitarycoupledrestrictedboltzmannmachineansatzforquantumsimulations
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