IEEE Conference on Decision and Control and European Control Conference 2011
DOI: 10.1109/cdc.2011.6160631
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On stability of continuous-time quantum filters

Abstract: International audienceWe prove that the fidelity between the quantum state governed by a continuous time stochastic master equation driven by a Wiener process and its associated quantum-filter state is a sub-martingale. This result is a generalization to non-pure quantum states where fidelity does not coincide in general with a simple Frobenius inner product. This result implies the stability of such filtering process but does not necessarily ensure the asymptotic convergence of such quantum-filters

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Cited by 22 publications
(38 citation statements)
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“…The stochastic master equation that describes the evolution of the system under the continuous measurement was solved numerically using a method proposed by Rouchon and collaborators that was specially designed for these types of equations [26,27]. In doing so we have confirmed, for systems much larger than those previously considered, that Rouchon's method provides significant computational advantages compared to the standard Euler-Milstein method.…”
Section: Discussionmentioning
confidence: 50%
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“…The stochastic master equation that describes the evolution of the system under the continuous measurement was solved numerically using a method proposed by Rouchon and collaborators that was specially designed for these types of equations [26,27]. In doing so we have confirmed, for systems much larger than those previously considered, that Rouchon's method provides significant computational advantages compared to the standard Euler-Milstein method.…”
Section: Discussionmentioning
confidence: 50%
“…The Euler-Milstein increment neither guarantees the positivity nor the Hermiticity of the conditional density matrix. In practice, we have found that Rouchon's method [26,27] provides more accurate state estimates with fewer time steps per period of time, and involves fewer calculations per time step than the EulerMilstein method. For the cases modeled in this paper, typical savings in computational time are a factor of four or five for the increment (14) over the increment (16).…”
Section: Methodsmentioning
confidence: 99%
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