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 language | English |
|---|---|
| Pages (from-to) | 777-780 |
| Number of pages | 4 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 41 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2026 |
Keywords
- Quantum power flow
- newtonian power flow
- quantum computing
- quantum singular value transformation
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