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高斯非马尔可夫量子动力学展开的参数化和优化。

Parametrization and Optimization of Gaussian Non-Markovian Unravelings for Open Quantum Dynamics.

机构信息

Institut für Theoretische Physik, Technische Universität Dresden, D-01062, Dresden, Germany.

Departamento de Física, Universidad Nacional de Colombia, Carrera 30 No. 45-03, Bogota D.C., Colombia.

出版信息

Phys Rev Lett. 2018 Apr 13;120(15):150402. doi: 10.1103/PhysRevLett.120.150402.

Abstract

We derive a family of Gaussian non-Markovian stochastic Schrödinger equations for the dynamics of open quantum systems. The different unravelings correspond to different choices of squeezed coherent states, reflecting different measurement schemes on the environment. Consequently, we are able to give a single shot measurement interpretation for the stochastic states and microscopic expressions for the noise correlations of the Gaussian process. By construction, the reduced dynamics of the open system does not depend on the squeezing parameters. They determine the non-Hermitian Gaussian correlation, a wide range of which are compatible with the Markov limit. We demonstrate the versatility of our results for quantum information tasks in the non-Markovian regime. In particular, by optimizing the squeezing parameters, we can tailor unravelings for improving entanglement bounds or for environment-assisted entanglement protection.

摘要

我们推导出了一组高斯非马尔科夫随机薛定谔方程,用于描述开放量子系统的动力学。不同的展开对应于压缩相干态的不同选择,反映了环境中不同的测量方案。因此,我们能够为随机态提供单次测量解释,并给出高斯过程噪声相关的微观表达式。通过构造,开放系统的约化动力学不依赖于压缩参数。它们决定了非厄米高斯相关,其中广泛的范围与马尔可夫极限兼容。我们展示了我们的结果在非马尔可夫量子信息任务中的多功能性。特别是,通过优化压缩参数,我们可以定制展开以提高纠缠边界或环境辅助的纠缠保护。

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