Convex optimization for nonequilibrium steady states on a hybrid quantum processor

Convex optimization for nonequilibrium steady states on a hybrid quantum processor

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 L...

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Bibliographic Details
Main Authors: Lau, Jonathan Wei Zhong, Lim, Kian Hwee, Bharti, Kishor, Kwek, Leong Chuan, Vinjanampathy, Sai
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Science::Physics
Barren Plateaus
Complexity
Online Access:https://hdl.handle.net/10356/171711
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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