Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Counterdiabatic Driving
The quantum alternating operator ansatz (QAOA) is a prominent example of variational quantum algorithms. We propose a generalized QAOA called CD-QAOA, which is inspired by the counterdiabatic driving procedure, designed for quantum many-body systems and optimized using a reinforcement learning (RL)...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
American Physical Society
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/fba1d9d8fbc84730afc49b3402694c83 |
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