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dc.contributor.authorLau, Jonathan Wei Zhongen_US
dc.contributor.authorLim, Kian Hweeen_US
dc.contributor.authorBharti, Kishoren_US
dc.contributor.authorKwek, Leong Chuanen_US
dc.contributor.authorVinjanampathy, Saien_US
dc.identifier.citationLau, J. W. Z., Lim, K. H., Bharti, K., Kwek, L. C. & Vinjanampathy, S. (2023). Convex optimization for nonequilibrium steady states on a hybrid quantum processor. Physical Review Letters, 130(24), 240601-.
dc.description.abstractFinding the transient and steady state properties of open quantum systems is a central problem in various fields of quantum technologies. Here, we present a quantum-assisted algorithm to determine the steady states of open system dynamics. By reformulating the problem of finding the fixed point of Lindblad dynamics as a feasibility semidefinite program, we bypass several well-known issues with variational quantum approaches to solving for steady states. We demonstrate that our hybrid approach allows us to estimate the steady states of higher dimensional open quantum systems and discuss how our method can find multiple steady states for systems with symmetries.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.relation.ispartofPhysical Review Lettersen_US
dc.rights© 2023 American Physical Society. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at or URL link.en_US
dc.titleConvex optimization for nonequilibrium steady states on a hybrid quantum processoren_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.organizationNational University of Singaporeen_US
dc.contributor.organizationMajuLab, CNRS-UNS-NUS-NTU International Joint Research Uniten_US
dc.contributor.organizationNational Institute of Educationen_US
dc.description.versionPublished versionen_US
dc.subject.keywordsBarren Plateausen_US
dc.description.acknowledgementWe are grateful to the National Research Foundation and the Ministry of Education, Singapore for financial support. S. V. acknowledges support from Government of India DST-SERB Early Career Research Award (No. ECR/2018/ 000957) and Government of India DST-QUEST Grant No. DST/ICPS/QuST/Theme-4/2019. K. B. acknowledges funding by the U.S. DOE ASCR Accelerated Research in Quantum Computing program (Award No. DESC0020312), U.S. DOE QSA, NSF QLCI (Award No. OMA-2120757), NSF PFCQC program, the U.S. DOE ASCR Quantum Testbed Pathfinder program (Award No. DE-SC0019040), U.S. Department of Energy Award No. DE-SC0019449, AFOSR, ARO MURI, AFOSR MURI, and DARPA SAVaNT ADVENT.en_US
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