The optimization landscape of hybrid quantum–classical algorithms: From quantum control to NISQ applications

Ge, Xiaozhen; Wu, Re-Bing; Rabitz, Herschel

doi:10.1016/j.arcontrol.2022.06.001

The optimization landscape of hybrid quantum–classical algorithms: From quantum control to NISQ applications

Journal Article · 01 January 2022 · Annual Reviews in Control

DOI:https://doi.org/10.1016/j.arcontrol.2022.06.001· OSTI ID:1976879

^[1]; Wu, Re-Bing; Rabitz, Herschel

OSTI

Not provided.

Research Organization:: Princeton Univ., NJ (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

DOE Contract Number:: FG02-02ER15344;

OSTI ID:: 1976879

Journal Information:: Annual Reviews in Control, Journal Name: Annual Reviews in Control Journal Issue: C Vol. 54; ISSN 1367-5788

Publisher:: International Federation of Automatic Control - Elsevier

Country of Publication:: United States

Language:: English

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