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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Autores principales: Jiahao Yao, Lin Lin, Marin Bukov
Formato: article
Lenguaje:EN
Publicado: American Physical Society 2021
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Acceso en línea:https://doaj.org/article/fba1d9d8fbc84730afc49b3402694c83
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