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Reservoir Engineering using Quantum Optimal Control for Qubit Reset

Authors :
Basilewitsch, Daniel
Cosco, Francesco
Gullo, Nicola Lo
Möttönen, Mikko
Ala-Nissilä, Tapio
Koch, Christiane P.
Maniscalco, Sabrina
Source :
New. J. Phys 21, 093054 (2019)
Publication Year :
2019

Abstract

We determine how to optimally reset a superconducting qubit which interacts with a thermal environment in such a way that the coupling strength is tunable. Describing the system in terms of a time-local master equation with time-dependent decay rates and using quantum optimal control theory, we identify temporal shapes of tunable level splittings which maximize the efficiency of the reset protocol in terms of duration and error. Time-dependent level splittings imply a modification of the system-environment coupling, varying the decay rates as well as the Lindblad operators. Our approach thus demonstrates efficient reservoir engineering employing quantum optimal control. We find the optimized reset strategy to consist in maximizing the decay rate from one state and driving non-adiabatic population transfer into this strongly decaying state.<br />Comment: 11 pages, 5 figures

Subjects

Subjects :
Quantum Physics

Details

Database :
arXiv
Journal :
New. J. Phys 21, 093054 (2019)
Publication Type :
Report
Accession number :
edsarx.1903.05059
Document Type :
Working Paper
Full Text :
https://doi.org/10.1088/1367-2630/ab41ad