Learning-Driven Annealing with Adaptive Hamiltonian Modification for Solving Large-Scale Problems on Quantum Devices
We present Learning-Driven Annealing (LDA), a framework that links individual quantum annealing evolutions into a global solution strategy to mitigate hardware constraints such as short annealing times and integrated control errors. Unlike other iterative methods, LDA does not tune the annealing pro...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2025-10-01
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| coleção: | Quantum |
| Acesso em linha: | https://quantum-journal.org/papers/q-2025-10-29-1898/pdf/ |
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