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Artículo
Quantum Reinforcement Learning with Quantum Photonics
Autor/es | Lamata Manuel, Lucas |
Departamento | Universidad de Sevilla. Departamento de Física Atómica, Molecular y Nuclear |
Fecha de publicación | 2021-01 |
Fecha de depósito | 2021-02-09 |
Publicado en |
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Resumen | Quantum machine learning has emerged as a promising paradigm that could accelerate
machine learning calculations. Inside this field, quantum reinforcement learning aims at designing
and building quantum agents that may ... Quantum machine learning has emerged as a promising paradigm that could accelerate machine learning calculations. Inside this field, quantum reinforcement learning aims at designing and building quantum agents that may exchange information with their environment and adapt to it, with the aim of achieving some goal. Different quantum platforms have been considered for quantum machine learning and specifically for quantum reinforcement learning. Here, we review the field of quantum reinforcement learning and its implementation with quantum photonics. This quantum technology may enhance quantum computation and communication, as well as machine learning, via the fruitful marriage between these previously unrelated fields |
Agencias financiadoras | Ministerio de Ciencia, Innovación y Universidades (MICINN). España Agencia Estatal de Investigación. España European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER) |
Identificador del proyecto | PGC2018-095113-B-I00
PID2019-104002GB-C21 PID2019- 104002GB-C22 |
Cita | Lamata Manuel, L. (2021). Quantum Reinforcement Learning with Quantum Photonics. Photonics, 8 (2), 33. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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photonics-08-00033.pdf | 303.6Kb | [PDF] | Ver/ | |
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