Name
Title | ||
|---|---|---|
Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer. |
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/quantum2020019 | arXiv: Quantum Physics |
DocType | Volume | ISSN |
Journal | abs/1811.07594 | Quantum Reports 2, 293 (2020) |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Olivares-Sánchez | 1 | 0 | 0.34 |
| J. Casanova | 2 | 0 | 1.01 |
| Enrique Solano | 3 | 10 | 7.28 |
| Lucas Lamata | 4 | 19 | 4.63 |