3 code implementations • 28 Jan 2020 • Gian Giacomo Guerreschi, Justin Hogaboam, Fabio Baruffa, Nicolas Sawaya
Classical simulation of quantum computers will continue to play an essential role in the progress of quantum information science, both for numerical studies of quantum algorithms and for modelings noise and errors.
Quantum Physics Distributed, Parallel, and Cluster Computing Computational Physics
2 code implementations • 30 Nov 2017 • Yudong Cao, Gian Giacomo Guerreschi, Alán Aspuru-Guzik
In the construction of feedforward networks of quantum neurons, we provide numerical evidence that the network not only can learn a function when trained with superposition of inputs and the corresponding output, but that this training suffices to learn the function on all individual inputs separately.