Bulletin of the American Physical Society
Prairie Section Fall 2022 Meeting
Volume 67, Number 12
Thursday–Saturday, October 13–15, 2022; University of South Dakota, Sioux Falls, SD
Session F01: Poster Session (3:45-5:30pm)
3:45 PM,
Friday, October 14, 2022
University of South Dakota
Room: Avera Lecture Hall
Abstract: F01.00007 : Quantum state reconstruction for systems with different dimensions using machine learning*
Presenter:
Sangita Regmi
(University of Illinois Chicago)
Authors:
Sangita Regmi
(University of Illinois Chicago)
Sanjaya Lohani
(University of Illinois Chicago)
Joseph M Lukens
(Oak Ridge National Laboratory)
Ryan T Glasser
(Tulane Univ)
Brian T Kirby
(DEVCOM Army Research Laboratory)
Thomas A Searles
(University of Illinois at Chicago)
Collaborations:
University of Illinois Chicago, Tulane University, DEVCOM Army Research Laboratory, Oak Ridge National Laboratory
*Work by S. Lohani and T. A. Searles was supported in part by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Co-design Center for Quantum Advantage (C2QA) under contract number DE-SC0012704. A portion of this work was performed at Oak Ridge National Laboratory, operated by UT-Battelle for the U.S. Department of Energy under contract no. DE-AC05-00OR22725. J. M. Lukens acknowledges funding by the U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research, through the Early Career Research Program (Field Work Proposal ERKJ353). Additionally, this material is based upon work supported by, or in part by, the Army Research Laboratory and the Army Research Office under contract/grant numbers W911NF-19-2-0087 and W911NF-20-2-0168.
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