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