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Reversing Lindblad dynamics via continuous Petz recovery map

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Title: Reversing Lindblad dynamics via continuous Petz recovery map
Authors: Kwon, H
Mukherjee, R
Kim, MS
Item Type: Journal Article
Abstract: An important issue in developing quantum technology is that quantum states are so sensitive to noise. We propose a protocol that introduces reverse dynamics, in order to precisely control quantum systems against noise described by the Lindblad master equation. The reverse dynamics can be obtained by constructing the Petz recovery map in continuous time. By providing the exact form of the Hamiltonian and jump operators for the reverse dynamics, we explore the potential of utilizing the near-optimal recovery of the Petz map in controlling noisy quantum dynamics. While time-dependent dissipation engineering enables us to fully recover a single quantum trajectory, we also design a time-independent recovery protocol to protect encoded quantum information against decoherence. Our protocol can efficiently suppress only the noise part of dynamics thereby providing an effective unitary evolution of the quantum system.
Issue Date: 11-Jan-2022
Date of Acceptance: 14-Dec-2021
URI: http://hdl.handle.net/10044/1/94825
DOI: 10.1103/PhysRevLett.128.020403
ISSN: 0031-9007
Publisher: American Physical Society
Start Page: 1
End Page: 7
Journal / Book Title: Physical Review Letters
Volume: 128
Issue: 2
Copyright Statement: © 2022 American Physical Society
Sponsor/Funder: Samsung Electronics Co. Ltd
Korea Institute of Science and Technology
Funder's Grant Number: n/a
PHQL_P81550
Keywords: Science & Technology
Physical Sciences
Physics, Multidisciplinary
Physics
QUANTUM
DECOHERENCE
STATE
Science & Technology
Physical Sciences
Physics, Multidisciplinary
Physics
QUANTUM
DECOHERENCE
STATE
01 Mathematical Sciences
02 Physical Sciences
09 Engineering
General Physics
Publication Status: Published
Article Number: ARTN 020403
Online Publication Date: 2022-01-11
Appears in Collections:Quantum Optics and Laser Science
Physics
Faculty of Natural Sciences