论文标题
信息在碰撞模型中争夺
Information scrambling in a collision model
论文作者
论文摘要
在多体系统中争夺的信息与量子混沌动力学，复杂性和重力密切相关。在这里，我们提出了一个碰撞模型，以模拟全光系统中的信息动力学。在我们的模型中，信息最初是在内存中定位的，并在多体相互作用和耗散的合并动作下发展。我们发现，如果将内存和环境粒子沿两个方向挤压，这些信息会扰乱。此外，相互作用强度的疾病和不完美倾向于阻止信息流向环境，并导致记忆中的信息扰乱。我们分析了内存中相关性的空间分布。我们的建议可以通过当前的实验技术实现。
The information scrambling in many-body systems is closely related to quantum chaotic dynamics, complexity, and gravity. Here we propose a collision model to simulate the information dynamics in an all-optical system. In our model the information is initially localized in the memory and evolves under the combined actions of many-body interactions and dissipation. We find that the information is scrambled if the memory and environmental particles are alternatively squeezed along two directions which are perpendicular to each other. Moreover, the disorder and imperfection of the interaction strength tend to prevent the information flow away to the environment and lead to the information scrambling in the memory. We analyze the spatial distributions of the correlations in the memory. Our proposal is possible to realize with current experimental techniques.
