The future forecasting ability of machine learning (ML) makes ML a promising tool for predicting long-time quantum dissipative dynamics of open systems. In this article. we employ nonparametric ML algorithm (kernel ridge regression as a representative of the kernel methods) to study the quantum dissipative dynamics of the widely-used spin-boson (SB) model. Our ML model takes short-tim... https://www.diegojavierfares.com/flash-find-3930-Peoria-Orange-Barrels-Hat-p11299-flash-buy/
Speeding up quantum dissipative dynamics of open systems with kernel methods
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