Deep learning optimal quantum annealing schedules for random Ising models

A crucial step in the race towards quantum advantage is optimizing quantum annealing using ad-hoc annealing schedules. Motivated by recent progress in the field, we propose to employ long-short term memory neural networks to automate the search for optimal annealing schedules for random Ising models...

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Bibliographic Details
Main Authors: Pratibha Raghupati Hegde, Gianluca Passarelli, Giovanni Cantele, Procolo Lucignano
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:New Journal of Physics
Subjects:
Online Access:https://doi.org/10.1088/1367-2630/ace547