Published July 22, 2005 | Version v1
Journal article

Maximal suppression of decoherence in Markovian quantum systems

  • 1. Department of Automation, Tsinghua University, Beijing 100084 (China)
  • 2. Department of Chemistry, Princeton University, Princeton, NJ 08544 (United States)
  • 3. Department of Electrical and Systems Engineering, Washington University, St Louis, MO 63130 (United States)
  • 4. Department of Physics, Tsinghua University, Beijing 100084 (China)

Description

In this paper, we design an optimal control law to suppress decoherence effects in Markovian open quantum systems. The optimal control law is subject to the tracking precision of the trajectory governed by the free system, which is ideally free from decoherence. We observe from numerical simulation that the undesired decohering dynamics can be partially squeezed out in most systems. Moreover, we observe the existence of sinusoidally oscillating resonant modes that play dominant roles in the controlled trajectory, which can be easily realized by continuous wave pulses. These key features are strictly demonstrated in subsequent analysis under proper assumptions. For systems in which the coherent control does not work, we suggest a feedback control strategy to extend the applicability of control to wider class of systems

Availability note (English)

Available online at http://stacks.iop.org/0305-4470/38/6587/a5_29_013.pdf or at the Web site for the Journal of Physics. A, Mathematical and General (ISSN 1361-6447) http://www.iop.org/

Additional details

Publishing Information

Journal Title
Journal of Physics. A, Mathematical and General
Journal Volume
38
Journal Issue
29
Journal Page Range
p. 6587-6601
ISSN
0305-4470
CODEN
JPHAC5

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
36095695
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
ACCURACY; FEEDBACK; MARKOV PROCESS; OPTIMAL CONTROL; PULSES; QUANTUM MECHANICS; SIMULATION; TRAJECTORIES
Descriptors DEC
CONTROL; MECHANICS; STOCHASTIC PROCESSES