Noise-Resilient Quantum Power Flow

• URL: http://arxiv.org/abs/2211.10555v1
• Date: Sat, 19 Nov 2022 01:19:56 GMT
• Title: Noise-Resilient Quantum Power Flow
• Authors: Fei Feng, Yifan Zhou, Peng Zhang
• Abstract summary: This paper devises a NISQ-QPF algorithm, which enables power flow calculation on noisy quantum computers. Case studies validate the effectiveness and accuracy of NISQ-QPF on IBM's real, noisy quantum devices.
• Score: 11.828274912580074
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum power flow (QPF) provides inspiring directions for tackling power flow's computational burdens leveraging quantum computing. However, existing QPF methods are mainly based on noise-sensitive quantum algorithms, whose practical utilization is significantly hindered by the limited capability of today's noisy-intermediate-scale quantum (NISQ) devices. This paper devises a NISQ-QPF algorithm, which enables power flow calculation on noisy quantum computers. The main contributions include: (1) a variational quantum circuit (VQC)-based AC power flow formulation, which enables QPF using short-depth quantum circuits; (2) noise-resilient QPF solvers based on the variational quantum linear solver (VQLS) and modified fast decoupled power flow; (3) a practical NISQ-QPF framework for implementable and reliable power flow analysis on noisy quantum machines. Promising case studies validate the effectiveness and accuracy of NISQ-QPF on IBM's real, noisy quantum devices.

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