Variational quantum reinforcement learning via evolutionary optimization

Recent advances in classical reinforcement learning (RL) and quantum computation point to a promising direction for performing RL on a quantum computer. However, potential applications in quantum RL are limited by the number of qubits available in modern quantum devices. Here, we present two framewo...

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Veröffentlicht in:Machine learning: science and technology 2022-03, Vol.3 (1), p.15025
Hauptverfasser: Chen, Samuel Yen-Chi, Huang, Chih-Min, Hsing, Chia-Wei, Goan, Hsi-Sheng, Kao, Ying-Jer
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Sprache:eng
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