High-quality thermal gibbs sampling with quantum annealing hardware

HIGHLIGHTS

  • who: Nelson Jon from the Center for Nonlinear, Los Alamos, New Mexico, USA University of have published the article: High-Quality Thermal Gibbs Sampling with Quantum Annealing Hardware, in the Journal: (JOURNAL) of 25/04/2022
  • what: The procedure proposed in this work provides an approach to using QA hardware for Ising-model sampling presenting potential opportunities for applications in machine learning and physics simulation. The authors show that this effective temperature can be adjusted by modulating the annealing time and energy scale. Building on the insights of Ref , this work shows that it is . . .

     

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