Markovian Embedding Procedures for Non-Markovian Stochastic Schr\"{o}dinger Equations

• URL: http://arxiv.org/abs/2005.00103v1
• Date: Thu, 30 Apr 2020 21:04:13 GMT
• Title: Markovian Embedding Procedures for Non-Markovian Stochastic Schr\"{o}dinger Equations
• Authors: Xiantao Li
• Abstract summary: We present embedding procedures for the non-Markovian Schr"odinger equations. The accuracy of the embedded models is ensured by fitting to the power spectrum.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present embedding procedures for the non-Markovian stochastic Schr\"{o}dinger equations, arising from studies of quantum systems coupled with bath environments. By introducing auxiliary wave functions, it is demonstrated that the non-Markovian dynamics can be embedded in extended, but Markovian, stochastic models. Two embedding procedures are presented. The first method leads to nonlinear stochastic equations, the implementation of which is much more efficient than the non-Markovian stochastic Schr\"{o}dinger equations. The stochastic Schr\"{o}dinger equations obtained from the second procedure involve more auxiliary wave functions, but the equations are linear, and we derive the corresponding generalized quantum master equation for the density-matrix. The accuracy of the embedded models is ensured by fitting to the power spectrum. The stochastic force is represented using a linear superposition of Ornstein-Uhlenbeck processes, which are incorporated as multiplicative noise in the auxiliary Schr\"{o}dinger equations. The asymptotic behavior of the spectral density in the low frequency regime is preserved by using correlated stochastic processes. The approximations are verified by using a spin-boson system as a test example.

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