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quant-ph2022★ 1 cited
A quantum analytical Adam descent through parameter shift rule using Qibo
Matteo Robbiati, Stavros Efthymiou, Andrea Pasquale +1
In this proceedings we present quantum machine learning optimization experiments using stochastic gradient descent with the parameter shift rule algorithm. We first describe the gr…
quant-ph2019
NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems
Giuseppe Carleo, Kenny Choo, Damian Hofmann +15
We introduce NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques. The framework is built around a general and…