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Quantum Machine Learning
Superconducting Qubits
Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer
arXiv
Authors: J. Olivares-Sánchez, J. Casanova, E. Solano, L. Lamata
Year
2018
Paper ID
23267
Status
Preprint
Abstract Read
~2 min
Abstract Words
53
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Abstract
We present an experimental realization 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.
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- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2018 reference point for readers tracking recent quantum research.
- We present an experimental realization of a measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti cloud quantum computer.
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