Quantum Power Flow

Fei Feng; Yifan Zhou; Peng Zhang

doi:10.1109/TPWRS.2021.3077382

Quantum Power Flow

Fei Feng
, Yifan Zhou
, Peng Zhang

Stony Brook University

Research output: Contribution to journal › Article › peer-review

72 Scopus citations

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.

Original language	English
Article number	9423668
Pages (from-to)	3810-3812
Number of pages	3
Journal	IEEE Transactions on Power Systems
Volume	36
Issue number	4
DOIs	https://doi.org/10.1109/TPWRS.2021.3077382
State	Published - Jul 2021

Keywords

Fast decoupled power flow
Quantum computing
Quantum power flow

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10.1109/TPWRS.2021.3077382

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title = "Quantum Power Flow",

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.",

keywords = "Fast decoupled power flow, Quantum computing, Quantum power flow",

author = "Fei Feng and Yifan Zhou and Peng Zhang",

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AB - 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.

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Quantum Power Flow

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