On the non-Markovian quantum stochastic network dynamics

• URL: http://arxiv.org/abs/2505.03578v1
• Date: Tue, 06 May 2025 14:39:37 GMT
• Title: On the non-Markovian quantum stochastic network dynamics
• Authors: Haijin Ding, Guofeng Zhang,
• Abstract summary: We investigate the non-Markovian quantum dynamics based on quantum noise properties in a network of atoms mediated by a waveguide.<n>Different from traditional Markovian quantum systems, the non-Markovian quantum network can be regarded as a quantum system interacting with multiple input quantum noise channels.
• Score: 2.5233776732262045
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: In this paper, we investigate the non-Markovian quantum dynamics based on quantum noise properties in a network of atoms mediated by a waveguide. In such networks, quantum coherent feedback control becomes achievable when coherent fields (or quantum noises) in the form of photons with continuous modes propagate through the waveguide. Different from traditional Markovian quantum systems, the non-Markovian quantum network can be regarded as a quantum system interacting with multiple input quantum noise channels with different time delays, and the \rm{It\={o}} relationships among different quantum noise channels can be represented with a non-Markovian integral process with integral kernels determined by the relative distances among atoms and their coupling methods to the waveguide. Then the non-Markovian dynamics of the quantum network can be modeled with the quantum stochastic differential equation (QSDE), which contains an integral process with integral kernels determined by the \rm{It\={o}} relationships among quantum noises. Utilizing this modeling approach from the perspective of quantum noises, the control dynamics can be clarified according to the noise properties and measurement results of the non-Markovian quantum network can be evaluated at the output end, which can be further used in the filtering of quantum states within Markovian approximations.

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