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Quantum Computing for Power Flow Algorithms: Testing on real Quantum Computers

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arxiv 2204.14028 v4 pith:3K5JGQJX submitted 2022-04-29 quant-ph cs.SYeess.SY

classification quant-phcs.SYeess.SY
keywords quantumcomputingcomputerspowerrealalgorithmalgorithmsflow
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Quantum computing has the potential to solve many computational problems exponentially faster than classical computers. The high shares of renewables and the wide deployment of converter-interfaced resources require new tools that shall drastically accelerate power system computations, including optimization and security assessment, which can benefit from quantum computing. To the best of our knowledge, this is the first paper that goes beyond quantum computing simulations and performs an experimental application of Quantum Computing for power systems on a real quantum computer. We use five different quantum computers, apply the HHL quantum algorithm, and examine the impact of current noisy quantum hardware on the accuracy and speed of an AC power flow algorithm. We perform the same studies on a 3-bus and a 5-bus system with real quantum computers to identify challenges and open research questions related with the scalability of these algorithms.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems

    quant-ph 2026-07 conditional novelty 6.0 of 10

    For AC-OPF-UC instances with 5-13 generators, the qubit-efficient hybrid VQA does not outperform uniform random bitstring sampling on ideal-time quantum hardware.

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