Learning to rank quantum circuits for hardware-optimized performance enhancement
We introduce and experimentally test a machine-learning-based method for ranking logically equivalent quantum circuits based on expected performance estimates derived from a training procedure conducted on real hardware. We apply our method to the problem of layout selection, in which abstracted qub...
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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2024-11-01
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| Серія: | Quantum |
| Онлайн доступ: | https://quantum-journal.org/papers/q-2024-11-27-1542/pdf/ |
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