Microscopic parametrizations for gate set tomography under coloured noise

Gate set tomography (GST) allows for a self-consistent characterization of noisy quantum information processors (QIPs). The standard approach treats QIPs as black boxes only constrained by the laws of physics, attaining full generality at a considerable resource cost: numerous circuits must be run i...

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Detalles Bibliográficos
Autores: Viñas, P., Bermudez, A.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:dnet:digitalcsic_::5c84e3dd84dca621cc9895377cd2d6f3
Acceso en línea:http://hdl.handle.net/10261/429010
https://www.scopus.com/pages/publications/85218202435?origin=resultslist
Access Level:acceso abierto
Palabra clave:Image segmentation
Logic gates
Markov processes
Phase noise
Photons
Quantum computers
Quantum noise
Quantum optics
White noise
Black boxes
Colored noise
Considerable resources
Gate sets
Information processor
Laws of physics
Parametrizations
Quantum gates
Quantum Information
Resource costs
Trapped ions
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spelling Microscopic parametrizations for gate set tomography under coloured noiseViñas, P.Bermudez, A.Image segmentationLogic gatesMarkov processesPhase noisePhotonsQuantum computersQuantum noiseQuantum opticsWhite noiseBlack boxesColored noiseConsiderable resourcesGate setsInformation processorLaws of physicsParametrizationsQuantum gatesQuantum InformationResource costsTrapped ionsGate set tomography (GST) allows for a self-consistent characterization of noisy quantum information processors (QIPs). The standard approach treats QIPs as black boxes only constrained by the laws of physics, attaining full generality at a considerable resource cost: numerous circuits must be run in order to amplify each of the gate set parameters. In this work, we show that a microscopic parametrization of quantum gates under time-correlated noise on the driving phase, motivated by recent experiments with trapped-ion gates, enables a more efficient version of GST. Adopting the formalism of filter functions over the noise spectral densities, we discuss the minimal parametrizations of the gate set that include the effect of non-Markovian quantum evolutions during the individual gates. We compare the estimated gate sets obtained by our method and the standard long-sequence GST, discussing their accuracies and showcasing the advantages of the parametrized approach in terms of the sampling complexity. © The Author(s) 2025.The authors warmly thank J.M. Sánchez Velázquez for his enlightening discussions and assistance on countless occasions. Additionally, both P.V. and A.B. thank Ch.D. Marciniak and Claire L. Edmunts for discussions during the development of this work. Finally, P.V. would like to thank Stefan Seritan and the team behind pyGSTi for their technical support on the use of the GST python package. The project leading to this publication has received funding from the US Army Research Office through Grant No. W911NF-21-1-0007. A.B acknowledges support from PID2021-127726NB- I00 (MCIU/AEI/FEDER, UE), from the Grant IFT Centro de Excelencia Severo Ochoa CEX2020-001007-S, funded by MCIN/AEI/10.13039/501100011033, from the CSIC Research Platform on Quantum Technologies PTI-001, and from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101114305 ("MILLENION-SGA1” EU Project). Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them.Peer reviewedSpringer NatureMinisterio de Ciencia e Innovación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202620262025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/429010https://www.scopus.com/pages/publications/85218202435?origin=resultslistreponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglésnpj Quantum Informationhttps://www.nature.com/articles/s41534-025-00976-4Síinfo:eu-repo/semantics/openAccessoai:dnet:digitalcsic_::5c84e3dd84dca621cc9895377cd2d6f32026-05-22T06:33:51Z
dc.title.none.fl_str_mv Microscopic parametrizations for gate set tomography under coloured noise
title Microscopic parametrizations for gate set tomography under coloured noise
spellingShingle Microscopic parametrizations for gate set tomography under coloured noise
Viñas, P.
Image segmentation
Logic gates
Markov processes
Phase noise
Photons
Quantum computers
Quantum noise
Quantum optics
White noise
Black boxes
Colored noise
Considerable resources
Gate sets
Information processor
Laws of physics
Parametrizations
Quantum gates
Quantum Information
Resource costs
Trapped ions
title_short Microscopic parametrizations for gate set tomography under coloured noise
title_full Microscopic parametrizations for gate set tomography under coloured noise
title_fullStr Microscopic parametrizations for gate set tomography under coloured noise
title_full_unstemmed Microscopic parametrizations for gate set tomography under coloured noise
title_sort Microscopic parametrizations for gate set tomography under coloured noise
dc.creator.none.fl_str_mv Viñas, P.
Bermudez, A.
author Viñas, P.
author_facet Viñas, P.
Bermudez, A.
author_role author
author2 Bermudez, A.
author2_role author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Image segmentation
Logic gates
Markov processes
Phase noise
Photons
Quantum computers
Quantum noise
Quantum optics
White noise
Black boxes
Colored noise
Considerable resources
Gate sets
Information processor
Laws of physics
Parametrizations
Quantum gates
Quantum Information
Resource costs
Trapped ions
topic Image segmentation
Logic gates
Markov processes
Phase noise
Photons
Quantum computers
Quantum noise
Quantum optics
White noise
Black boxes
Colored noise
Considerable resources
Gate sets
Information processor
Laws of physics
Parametrizations
Quantum gates
Quantum Information
Resource costs
Trapped ions
description Gate set tomography (GST) allows for a self-consistent characterization of noisy quantum information processors (QIPs). The standard approach treats QIPs as black boxes only constrained by the laws of physics, attaining full generality at a considerable resource cost: numerous circuits must be run in order to amplify each of the gate set parameters. In this work, we show that a microscopic parametrization of quantum gates under time-correlated noise on the driving phase, motivated by recent experiments with trapped-ion gates, enables a more efficient version of GST. Adopting the formalism of filter functions over the noise spectral densities, we discuss the minimal parametrizations of the gate set that include the effect of non-Markovian quantum evolutions during the individual gates. We compare the estimated gate sets obtained by our method and the standard long-sequence GST, discussing their accuracies and showcasing the advantages of the parametrized approach in terms of the sampling complexity. © The Author(s) 2025.
publishDate 2025
dc.date.none.fl_str_mv 2025
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/429010
https://www.scopus.com/pages/publications/85218202435?origin=resultslist
url http://hdl.handle.net/10261/429010
https://www.scopus.com/pages/publications/85218202435?origin=resultslist
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv npj Quantum Information
https://www.nature.com/articles/s41534-025-00976-4
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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