Article
Quantum Reinforcement Learning with Quantum Photonics
Author/s | Lamata Manuel, Lucas |
Department | Universidad de Sevilla. Departamento de Física Atómica, Molecular y Nuclear |
Publication Date | 2021-01 |
Deposit Date | 2021-02-09 |
Published in |
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Abstract | 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 |
Funding agencies | Ministerio de Ciencia, Innovación y Universidades (MICINN). España Agencia Estatal de Investigación. España European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER) |
Project ID. | PGC2018-095113-B-I00
PID2019-104002GB-C21 PID2019- 104002GB-C22 |
Citation | Lamata Manuel, L. (2021). Quantum Reinforcement Learning with Quantum Photonics. Photonics, 8 (2), 33. |
Files | Size | Format | View | Description |
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photonics-08-00033.pdf | 303.6Kb | [PDF] | View/ | |
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