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Quantum Computing Solution of DC Power Flow

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arxiv 2010.02442 v1 pith:H7UYUAJ4 submitted 2020-10-06 quant-ph

classification quant-ph
keywords powerquantumsystemflowproblemapplicationscomputingproblems
verification ladder T0 review T1 audit T2 compute T3 formal
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In this paper, we model and solve a fundamental power system problem, i.e., DC power flow, using a practical quantum computer. The Harrow-Hassidim-Lloyd (HHL) quantum algorithm is used to solve the DC power flow problem. The HHL algorithm for the solution of a system of linear equations (SLE) offers an exponential speedup over the classical computers. The speedup advantage is more significant when the size and the frequency of solving the power flow problem become more substantial. Verified quantum computing applications to power systems are merely nonexistent at this point. Through this paper, we plan to (1) provide a proof-of-concept that practical power system problems can be solved using quantum technology, (2) build a quantum-grid foundation by solving a fundamental power system problem with applications in many other critical grid problems, and (3) apply HHL to solve an SLE which has broad applications in many power system problems. A small 3-bus system is used for testing and demonstration purposes, considering the limitations of the available quantum computing hardware and software. The proposed method's merits and effectiveness are demonstrated using IBM open-source quantum computer and reported through proof-of-concept experimental demonstration using a 4-qubit quantum information processor.

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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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