论文标题
操作量子序列和最小
Operational Quantum Mereology and Minimal Scrambling
论文作者
论文摘要
在本文中,我们将尝试回答以下问题:从系统的动态定律中出现的自然量子子系统是什么?为了回答这个问题,我们首先根据可观察到的广义张量产品结构(GTP)定义为操作员subergebra $ \ cal a $及其交换剂的双对。其次,我们提出了在短时间尺度上争夺最小信息的操作标准,以动态选择GTP。通过这种方式,新兴子系统是维持最长信息身份的子系统。该策略是通过定义高斯争夺率的定量性,该代数版本的超时订单相关性(OTOC)函数(即$ \ cal a $ -otoc)的短期扩展。高斯争夺率是在分析上计算出的一般分裂为子系统的物理上重要病例的,并且显示出最低限制子系统之间的相互作用强度的直观和引人注目的物理解释。
In this paper we will attempt to answer the following question: what are the natural quantum subsystems which emerge out of a system's dynamical laws? To answer this question we first define generalized tensor product structures (gTPS) in terms of observables, as dual pairs of an operator subalgebra $\cal A$ and its commutant. Second, we propose an operational criterion of minimal information scrambling at short time scales to dynamically select gTPS. In this way the emergent subsystems are those which maintain the longest informational identity. This strategy is made quantitative by defining a Gaussian scrambling rate in terms of the short-time expansion of an algebraic version of the Out of Time Order Correlation (OTOC) function i.e., the $\cal A$-OTOC. The Gaussian scrambling rate is computed analytically for physically important cases of general division into subsystems, and is shown to have an intuitive and compelling physical interpretation in terms of minimizing the interaction strength between subsystems.