שמור ב:
מידע ביבליוגרפי
Main Authors: Zhang, Hao, Boothby, Kelly, Kamenev, Alex
פורמט: Preprint
יצא לאור: 2024
נושאים:
גישה מקוונת:https://arxiv.org/abs/2403.01034
תגים: הוספת תג
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תוכן הענינים:
  • 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.