Efficient modeling of superconducting quantum circuits with tensor networks

Efficient modeling of superconducting quantum circuits with tensor networks

Abstract We use a tensor network method to compute the low-energy excitations of a large-scale fluxonium qubit up to a desired accuracy. We employ this numerical technique to estimate the pure-dephasing coherence time of the fluxonium qubit due to charge noise and coherent quantum phase slips from f...

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Main Authors: Agustin Di Paolo, Thomas E. Baker, Alexandre Foley, David Sénéchal, Alexandre Blais
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:npj Quantum Information
Online Access:https://doi.org/10.1038/s41534-020-00352-4
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spelling doaj-14ba4cdcfdf34b19b72748b00ad902742021-01-31T16:38:10ZengNature Publishing Groupnpj Quantum Information2056-63872021-01-017111110.1038/s41534-020-00352-4Efficient modeling of superconducting quantum circuits with tensor networksAgustin Di Paolo0Thomas E. Baker1Alexandre Foley2David Sénéchal3Alexandre Blais4Institut quantique & Département de Physique, Université de SherbrookeInstitut quantique & Département de Physique, Université de SherbrookeInstitut quantique & Département de Physique, Université de SherbrookeInstitut quantique & Département de Physique, Université de SherbrookeInstitut quantique & Département de Physique, Université de SherbrookeAbstract We use a tensor network method to compute the low-energy excitations of a large-scale fluxonium qubit up to a desired accuracy. We employ this numerical technique to estimate the pure-dephasing coherence time of the fluxonium qubit due to charge noise and coherent quantum phase slips from first principles, finding an agreement with previously obtained experimental results. By developing an accurate single-mode theory that captures the details of the fluxonium device, we benchmark the results obtained with the tensor network for circuits spanning a Hilbert space as large as 15180. Our algorithm is directly applicable to the wide variety of circuit-QED systems and may be a useful tool for scaling up superconducting quantum technologies.https://doi.org/10.1038/s41534-020-00352-4
collection DOAJ
language English
format Article
sources DOAJ
author Agustin Di Paolo
Thomas E. Baker
Alexandre Foley
David Sénéchal
Alexandre Blais
spellingShingle Agustin Di Paolo
Thomas E. Baker
Alexandre Foley
David Sénéchal
Alexandre Blais
Efficient modeling of superconducting quantum circuits with tensor networks
npj Quantum Information
author_facet Agustin Di Paolo
Thomas E. Baker
Alexandre Foley
David Sénéchal
Alexandre Blais
author_sort Agustin Di Paolo
title Efficient modeling of superconducting quantum circuits with tensor networks
title_short Efficient modeling of superconducting quantum circuits with tensor networks
title_full Efficient modeling of superconducting quantum circuits with tensor networks
title_fullStr Efficient modeling of superconducting quantum circuits with tensor networks
title_full_unstemmed Efficient modeling of superconducting quantum circuits with tensor networks
title_sort efficient modeling of superconducting quantum circuits with tensor networks
publisher Nature Publishing Group
series npj Quantum Information
issn 2056-6387
publishDate 2021-01-01
description Abstract We use a tensor network method to compute the low-energy excitations of a large-scale fluxonium qubit up to a desired accuracy. We employ this numerical technique to estimate the pure-dephasing coherence time of the fluxonium qubit due to charge noise and coherent quantum phase slips from first principles, finding an agreement with previously obtained experimental results. By developing an accurate single-mode theory that captures the details of the fluxonium device, we benchmark the results obtained with the tensor network for circuits spanning a Hilbert space as large as 15180. Our algorithm is directly applicable to the wide variety of circuit-QED systems and may be a useful tool for scaling up superconducting quantum technologies.
url https://doi.org/10.1038/s41534-020-00352-4
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AT alexandrefoley efficientmodelingofsuperconductingquantumcircuitswithtensornetworks
AT davidsenechal efficientmodelingofsuperconductingquantumcircuitswithtensornetworks
AT alexandreblais efficientmodelingofsuperconductingquantumcircuitswithtensornetworks
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