Cyclic Quantum Annealing: Searching for Deep Low-Energy States in 5000-Qubit Spin Glass

Hao Zhang; Kelly Boothby; Alex Kamenev

doi:10.1038/s41598-024-80761-z

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arXiv · 2403.01034

Cyclic Quantum Annealing: Searching for Deep Low-Energy States in 5000-Qubit Spin Glass

Hao Zhang·Kelly Boothby·Alex Kamenev

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Abstract

Quantum computers promise a qualitative speedup in solving a broad spectrum of practical optimization problems. The latter can be mapped onto the task of finding low-energy states of spin glasses, which is known to be exceedingly difficult. Using D-Wave's 5000-qubit quantum processor, we demonstrate that a recently proposed iterative cyclic quantum annealing algorithm can find deep low-energy states in record time. We also find intricate structures in a low-energy landscape of spin glasses, such as a power-law distribution of connected clusters with a small surface energy. These observations offer guidance for further improvement of the optimization algorithms.

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cond-mat.dis-nn cond-mat.stat-mech quant-ph

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Hao Zhang, Kelly Boothby, Alex Kamenev. 2024-03-01. Cyclic Quantum Annealing: Searching for Deep Low-Energy States in 5000-Qubit Spin Glass. https://doi.org/10.1038/s41598-024-80761-z

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