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Convex optimization for nonequilibrium steady states on a hybrid quantum processor
Citation
Lau, J. W. Z., Lim, K. H., Kishor Bharti, Kwek, L.-C., & Sai Vinjanampathy. (2023). Convex optimization for nonequilibrium steady states on a hybrid quantum processor. Physical Review Letters, 130(24), Article 240601. https://doi.org/10.1103/physrevlett.130.240601
Author
Abstract
Finding 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.
Date Issued
2023
Publisher
American Physical Society
Journal
Physical Review Letters
DOI
10.1103/physrevlett.130.240601