Solving linear systems by quadratic unconstrained binary optimization on D-Wave quantum annealing device

Kyungtaek Jun; Rebecca Conley; Yecheng Huang; Hyunkyung Lim; Kwangmin Yu

doi:10.1117/12.2591588

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12 April 2021 Solving linear systems by quadratic unconstrained binary optimization on D-Wave quantum annealing device

Kyungtaek Jun, Rebecca Conley, Yecheng Huang, Hyunkyung Lim, Kwangmin Yu

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Proceedings Volume 11726, Quantum Information Science, Sensing, and Computation XIII; 117260C (2021) https://doi.org/10.1117/12.2591588
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

Many quantum computing algorithms are being developed with the advent of quantum computers. Solving linear systems is one of the most fundamental problems in almost all of science and engineering. HHL algorithm, a monumental quantum algorithm for solving linear systems on the gate model quantum computers, was invented and several advanced variations have been developed. However, HHL-based algorithms have a lot of limitations in spite of their importance. We address solving linear systems on a D-Wave quantum annealing device. To formulate a quadratic unconstrained binary optimization (QUBO) model for a linear system solving problem, we make use of a linear least-square problem with binary representation of the solution. We validate this QUBO model on the D-Wave system and discuss the results.

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Kyungtaek Jun, Rebecca Conley, Yecheng Huang, Hyunkyung Lim, and Kwangmin Yu "Solving linear systems by quadratic unconstrained binary optimization on D-Wave quantum annealing device", Proc. SPIE 11726, Quantum Information Science, Sensing, and Computation XIII, 117260C (12 April 2021); https://doi.org/10.1117/12.2591588

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