On the non-Markovian quantum stochastic network dynamics

TL;DR

This paper models non-Markovian quantum network dynamics using quantum stochastic differential equations, highlighting how quantum noise interactions depend on atom positions and coupling, enabling advanced quantum control.

Contribution

It introduces a QSDE-based framework for non-Markovian quantum networks, emphasizing the role of quantum noise commutators and delays in system dynamics.

Findings

Quantum noise commutators depend on atom distances and couplings.

Non-Markovian dynamics modeled with integral kernel QSDEs.

Quantum state filtering can be controlled via system parameters.

Abstract

In this paper, we investigate non-Markovian quantum dynamics from the perspective of quantum noises 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 format 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. Then the \rm{It\={o}} relationships among different quantum noise channels are determined by the quantum noise commutators and rely on the distances among atoms as well as their coupling strengths to the waveguide. The non-Markovian dynamics of such quantum networks can be modeled with the quantum stochastic differential equation (QSDE) containing integral kernels determined by the commutators among quantum noise operators. Utilizing this stochastic approach related to quantum noises, the filtering of quantum states can be modulated by parameters such as atom-waveguide coupling strengths and quantum control amplitudes.