Skip to main navigation Skip to search Skip to main content

Quantum Newtonian Power Flow

  • Stony Brook University

Research output: Contribution to journalArticlepeer-review

Abstract

This letter introduces a novel quantum Newtonian power flow (QNPF) algorithm. The QNPF features a more general quantum circuit that can process non-Hermitian matrices with fewer required qubits and eliminates the need for iterative optimization of gate parameters. Our contributions include: 1) Developing a quantum state-based Newton's power flow framework to enhance accuracy, convergence, and versatility; 2) Integrating quantum singular value transformation to efficiently solve each iteration of QNPF with scalable quantum circuits; and 3) Devising a block-rescaling technique to ensure computational accuracy in ill-conditioned cases. Test results validate the accuracy, scalability and numerical stability of QNPF, underscoring its potential to advance quantum power flow computation.

Original languageEnglish
Pages (from-to)777-780
Number of pages4
JournalIEEE Transactions on Power Systems
Volume41
Issue number1
DOIs
StatePublished - 2026

Keywords

  • Quantum power flow
  • newtonian power flow
  • quantum computing
  • quantum singular value transformation

Fingerprint

Dive into the research topics of 'Quantum Newtonian Power Flow'. Together they form a unique fingerprint.

Cite this