Quantum-classical eigensolver using multiscale entanglement renormalization

We propose a variational quantum eigensolver (VQE) for the simulation of strongly correlated quantum matter based on a multiscale entanglement renormalization ansatz (MERA) and gradient-based optimization. This MERA quantum eigensolver can have substantially lower computation costs than correspondin...

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Main Authors: Qiang Miao, Thomas Barthel
Format: Article
Language:English
Published: American Physical Society 2023-08-01
Series:Physical Review Research
Online Access:http://doi.org/10.1103/PhysRevResearch.5.033141
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author Qiang Miao
Thomas Barthel
author_facet Qiang Miao
Thomas Barthel
author_sort Qiang Miao
collection DOAJ
description We propose a variational quantum eigensolver (VQE) for the simulation of strongly correlated quantum matter based on a multiscale entanglement renormalization ansatz (MERA) and gradient-based optimization. This MERA quantum eigensolver can have substantially lower computation costs than corresponding classical algorithms. Due to its narrow causal cone, the algorithm can be implemented on noisy intermediate-scale quantum (NISQ) devices and still describe large systems. It is particularly attractive for ion-trap devices with ion-shuttling capabilities. The number of required qubits is system-size independent and increases only to a logarithmic scaling when using quantum amplitude estimation to speed up gradient evaluations. Translation invariance can be used to make computation costs square-logarithmic in the system size and describe the thermodynamic limit. We demonstrate the approach numerically for a MERA with Trotterized disentanglers and isometries. With a few Trotter steps, one recovers the accuracy of the full MERA.
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spelling doaj.art-8c707f8888b148fdaecf5fc3bbf1f3502024-04-12T17:33:38ZengAmerican Physical SocietyPhysical Review Research2643-15642023-08-015303314110.1103/PhysRevResearch.5.033141Quantum-classical eigensolver using multiscale entanglement renormalizationQiang MiaoThomas BarthelWe propose a variational quantum eigensolver (VQE) for the simulation of strongly correlated quantum matter based on a multiscale entanglement renormalization ansatz (MERA) and gradient-based optimization. This MERA quantum eigensolver can have substantially lower computation costs than corresponding classical algorithms. Due to its narrow causal cone, the algorithm can be implemented on noisy intermediate-scale quantum (NISQ) devices and still describe large systems. It is particularly attractive for ion-trap devices with ion-shuttling capabilities. The number of required qubits is system-size independent and increases only to a logarithmic scaling when using quantum amplitude estimation to speed up gradient evaluations. Translation invariance can be used to make computation costs square-logarithmic in the system size and describe the thermodynamic limit. We demonstrate the approach numerically for a MERA with Trotterized disentanglers and isometries. With a few Trotter steps, one recovers the accuracy of the full MERA.http://doi.org/10.1103/PhysRevResearch.5.033141
spellingShingle Qiang Miao
Thomas Barthel
Quantum-classical eigensolver using multiscale entanglement renormalization
Physical Review Research
title Quantum-classical eigensolver using multiscale entanglement renormalization
title_full Quantum-classical eigensolver using multiscale entanglement renormalization
title_fullStr Quantum-classical eigensolver using multiscale entanglement renormalization
title_full_unstemmed Quantum-classical eigensolver using multiscale entanglement renormalization
title_short Quantum-classical eigensolver using multiscale entanglement renormalization
title_sort quantum classical eigensolver using multiscale entanglement renormalization
url http://doi.org/10.1103/PhysRevResearch.5.033141
work_keys_str_mv AT qiangmiao quantumclassicaleigensolverusingmultiscaleentanglementrenormalization
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