Learning nonlinear input-output maps with dissipative quantum systems

DOI10.1007/s11128-019-2311-9OpenAlexW3100300618MaRDI QIDQ2105978

Hendra I. Nurdin, Jiayin Chen

Publication date: 8 December 2022

Published in: Quantum Information Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1901.01653

zbMATH Keywords

nonlinear time seriesStone-Weierstrass theoremuniversality propertyreservoir computingnonlinear input-output mapsdissipative quantum systemsfading memory mapsmachine learning with quantum systems

Mathematics Subject Classification ID

Quantum computation (81P68) Realizations from input-output data (93B15)

Related Items

Correction to: ``Learning nonlinear input-output maps with dissipative quantum systems, Quantum reservoir computing: a reservoir approach toward quantum machine learning on near-term quantum devices

Uses Software

• QISKit

Cites Work

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