Approximation of quantum control correction scheme using deep neural networks

TitleApproximation of quantum control correction scheme using deep neural networks
Publication TypeJournal Article
Year of Publication2019
AuthorsOstaszewski M, Miszczak J, Sadowski P, Banchi L.
JournalQuantum Information Processing
Volume18
Start Page126
Abstract

We study the functional relationship between quantum control pulses in the idealized case and the pulses in the presence of an unwanted drift. We show that a class of artificial neural networks called LSTM is able to model this functional relationship with high efficiency, and hence the correction scheme required to counterbalance the effect of the drift. Our solution allows studying the mapping from quantum control pulses to system dynamics and then analysing the robustness of the latter against local variations in the control profile.

DOI10.1007/s11128-019-2240-7

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Historia zmian

Data aktualizacji: 24/09/2019 - 10:26; autor zmian: Jarosław Miszczak (miszczak@iitis.pl)