论文标题
量子碰撞模型中的多部分相关性
Multipartite correlations in quantum collision models
论文作者
论文摘要
事实证明,量子碰撞模型对于开放量子系统领域的许多物理现象的清晰清晰描述很有用:热化,变质,均匀化,非平衡稳态,纠缠产生,多体动力学的模拟,量子温度计。在标准碰撞模型中,系统和许多Ancillas最初都是不相关的挑战,是如何描述由连续的System-Ancilla相互作用引起的Ancillas之间的量子相关性。另一个挑战是如何处理最初相关的杂物。在这里,我们开发了张量网络形式主义,以应对这两个挑战。我们表明,如果碰撞粒子处于纯(混合)状态,则标准碰撞模型中的诱导相关性被矩阵乘积状态(矩阵乘积密度算子)很好地捕获。在最初相关的Ancillas的情况下,我们为系统动力学构建了一般张量图,并得出了内存 - 内核主方程。分析记忆内核的扰动序列,我们超越了有关两点相关的主要作用的最新结果,并考虑了在更高阶段的频闪限制中相关的多点相关性(Waldenfelds累积物)。这些结果为进一步分析碰撞量子动力学的记忆效应开辟了途径。
Quantum collision models have proved to be useful for a clear and concise description of many physical phenomena in the field of open quantum systems: thermalization, decoherence, homogenization, nonequilibrium steady state, entanglement generation, simulation of many-body dynamics, quantum thermometry. A challenge in the standard collision model, where the system and many ancillas are all initially uncorrelated, is how to describe quantum correlations among ancillas induced by successive system-ancilla interactions. Another challenge is how to deal with initially correlated ancillas. Here we develop a tensor network formalism to address both challenges. We show that the induced correlations in the standard collision model are well captured by a matrix product state (a matrix product density operator) if the colliding particles are in pure (mixed) states. In the case of the initially correlated ancillas, we construct a general tensor diagram for the system dynamics and derive a memory-kernel master equation. Analyzing the perturbation series for the memory kernel, we go beyond the recent results concerning the leading role of two-point correlations and consider multipoint correlations (Waldenfelds cumulants) that become relevant in the higher order stroboscopic limits. These results open an avenue for a further analysis of memory effects in the collisional quantum dynamics.