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Noise-resilient quantum power flow
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作者 Fei Feng Yi-Fan Zhou Peng Zhang 《iEnergy》 2023年第1期63-70,共8页
Quantum power flow(QPF)offers an inspiring direction for overcoming the computation challenge of power flow through quantum computing.However,the practical implementation of existing QPF algorithms in today’s noisy-i... Quantum power flow(QPF)offers an inspiring direction for overcoming the computation challenge of power flow through quantum computing.However,the practical implementation of existing QPF algorithms in today’s noisy-intermediate-scale quantum(NISQ)era remains limited because of their sensitivity to noise.This paper establishes an NISQ-QPF algorithm that enables power flow computation on noisy quantum devices.The main contributions include:(1)a variational quantum circuit(VQC)-based alternating current(AC)power flow formulation,which enables QPF using short-depth quantum circuits;(2)NISQ-compatible QPF solvers based on the variational quantum linear solver(VQLS)and modified fast decoupled power flow;and(3)an error-resilient QPF scheme to relieve the QPF iteration deviations caused by noise;(3)a practical NISQ-QPF framework for implementable and reliable power flow analysis on noisy quantum machines.Extensive simulation tests validate the accuracy and generality of NISQ-QPF for solving practical power flow on IBM’s real,noisy quantum computers. 展开更多
关键词 Quantum AC power flow quantum computing variational quantum linear solver fast decoupled load flow noisy-intermediate-scale quantum device
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