Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer
Quantum Physics
2020-05-20 v2 Mesoscale and Nanoscale Physics
Artificial Intelligence
Emerging Technologies
Machine Learning
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.
Keywords
Cite
@article{arxiv.1811.07594,
title = {Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer},
author = {J. Olivares-Sánchez and J. Casanova and E. Solano and L. Lamata},
journal= {arXiv preprint arXiv:1811.07594},
year = {2020}
}