Gaussian states are enough for universal and powerful quantum reservoir computing

Johannes Nokkala

Published Sep 1, 2020• 0 citations

Abstract

Trabajo presentado en el 2nd International Workshop on Quantum Network Science (NetSci 2020 Satellite Workshop), celebrado el 18 de spetiembre de 2020.

Related papers

Quantum Reservoir Computing: A Reservoir Approach Toward Quantum Machine Learning on Near-Term Quantum Devices

Keisuke Fujii, Kohei Nakajima

arXiv:2011.04890Natural computing seriesJan 1, 202141 citations

Synchronization and coalescence in dissipative qubit systems

Roberta Zambrini

Trabajo presentado en el Workshop on Quantum open systems, Quantum thermodynamics, Quantum probability (QQQ), celebrado en Milán del 18 al 21 de febrero de 2020.

Feb 1, 20200 citations

Synchronization and exceptional points in open quantum systems

Gian Luca Giorgi, Albert Cabot, Roberta Zambrini

Trabajo presentado en el Workshop on Quantum Information Theory and Thermodynamics at the Nanoscale, celebrado en Al Hoceima - Morocco del 2 al 6 de marzo de 2020.

Mar 1, 20200 citations

Quantum kernels with Gaussian state encoding for machine learning

Long Hin Li, Dan-Bo Zhang, Z.D. Wang

arXiv:2108.11114Physics Letters AMar 24, 202214 citations

Quantum Reservoir Computing for small quantum systems

Joel Steinegger

Jan 14, 20250 citations

Electrically driven and tunable plug & play single photon sources

David Fuster, José Manuel Llorens Montolio, Luisa González Sotos +2 more

Resumen del trabajo presentado en el 3rd International Symposium on Single Photon based Quantum Technologies, celebrado online del 15 al 17 de septiembre de 2020

Sep 15, 20201 citation