4.6 Review

A tutorial introduction to quantum stochastic master equations based on the qubit/photon system

Journal

ANNUAL REVIEWS IN CONTROL
Volume 54, Issue -, Pages 252-261

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.arcontrol.2022.09.006

Keywords

Open quantum systems; Decoherence; Quantum stochastic master equation; Lindblad master equation; Kraus-map; Quantum channel; Quantum filtering; Wiener process; Poisson process; Qubit; photon composite system; Positivity and trace preserving numerical; schemes

Funding

  1. European Research Council (ERC) under the European Union [884762]
  2. European Research Council (ERC) [884762] Funding Source: European Research Council (ERC)

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This study explores a quantum system composed of a two-level system (qubit) and a harmonic oscillator (photon), and introduces the concepts of quantum Stochastic Master Equations (SME) and Kraus-map structure. It also explains the transformation from a discrete-time formulation to a continuous-time mathematical model, and the preservation of quantum state properties through simple linear numerical integration schemes.
From the key composite quantum system made of a two-level system (qubit) and a harmonic oscillator (photon) with resonant or dispersive interactions, one derives the corresponding quantum Stochastic Master Equations (SME) when either the qubits or the photons are measured. Starting with an elementary discrete-time formulation based on explicit formulae for the interaction propagators, one shows how to include measurement imperfections and decoherence. This qubit/photon quantum system illustrates the Kraus-map structure of general discrete-time SME governing the dynamics of an open quantum system subject to measurement back -action and decoherence induced by the environment. Then, on the qubit/photon system, one explains the passage to a continuous-time mathematical model where the measurement signal is either a continuous real -value signal (typically homodyne or heterodyne signal) or a discontinuous and integer-value signal obtained from a counter. During this derivation, the Kraus map formulation is preserved in an infinitesimal way. Such a derivation provides also an equivalent Kraus-map formulation to the continuous-time SME usually expressed as stochastic differential equations driven either by Wiener or Poisson processes. From such Kraus -map formulation, simple linear numerical integration schemes are derived that preserve the positivity and the trace of the density operator, i.e. of the quantum state.

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