Article
Measurement-Based Adaptation Protocol with Quantum Reinforcement Learning in a Rigetti Quantum Computer
Author/s | Olivares Sánchez, Julio
Casanova, Jorge Solano, Enrique Lamata Manuel, Lucas |
Department | Universidad de Sevilla. Departamento de Física Atómica, Molecular y Nuclear |
Publication Date | 2020 |
Deposit Date | 2020-06-17 |
Published in |
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Abstract | We present an experimental realisation of a measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti cloud quantum computer. The experiment in this few-qubit superconducting chip faithfully ... We present an experimental realisation of a measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti cloud quantum computer. The experiment in this few-qubit superconducting chip faithfully reproduces the theoretical proposal, setting the first steps towards a semiautonomous quantum agent. This experiment paves the way towards quantum reinforcement learning with superconducting circuits. |
Project ID. | PGC2018-095113-B-I00
IT986-16 |
Citation | Olivares Sánchez, J., Casanova, J., Solano, E. y Lamata Manuel, L. (2020). Measurement-Based Adaptation Protocol with Quantum Reinforcement Learning in a Rigetti Quantum Computer. Quantum Reports, 2 (2), 293-304. |
Files | Size | Format | View | Description |
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Measurement-Based Adaptation ... | 543.5Kb | [PDF] | View/ | |
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