Quantum Power Flow

TL;DR

This paper introduces quantum power flow algorithms that leverage quantum computing for efficient power system analysis, including a quantum-state model and optimized HHL algorithm, showing promising initial results.

Contribution

It presents a novel quantum power flow framework with a quantum-state model and an improved HHL algorithm for faster, more efficient power system computations.

Findings

Validated accuracy of quantum power flow algorithms

Demonstrated efficiency improvements in quantum HHL implementation

Showed potential for quantum computing in power system analytics

Abstract

This letter is a proof of concept for quantum power flow (QPF) algorithms which underpin various unprecedentedly efficient power system analytics exploiting quantum computing. Our contributions are three-fold: 1) Establish a quantum-state-based fast decoupled model empowered by Hermitian and constant Jacobian matrices; 2) Devise an enhanced Harrow-Hassidim-Lloyd (HHL) algorithm to solve the fast decoupled QPF; 3) Further improve the HHL efficiency by parameterizing quantum phase estimation and reciprocal rotation only at the beginning stage. Promising test results validate the accuracy and efficacy of QPF and demonstrate QPF's enormous potential in the era of quantum computing.