Time and Information, The Origins of 'Time' from Information Flow In Causal Networks and Complex Systems

具有不定因果序的反常热流与量子奥托循环

Anomalous heat flow and quantum Otto cycle with indefinite causal order

本文揭示两个相同热化通道在不定因果序下可产生从冷到热的反常热流，并据此设计出兼具制冷与做功能力的量子奥托循环，且在光子量子装置中完成原理性实验验证。

Finding Optimal Flows Efficiently

Among the models of quantum computation, the One-way Quantum Computer is one of the most promising proposals of physical realization, and opens new perspectives for parallelization by taking advantage of quantum entanglement. Since a one-way quantum computation is based on quantum measurement, which is a fundamentally nondeterministic evolution, a sufficient condition of global determinism has been introduced as the existence of a causal flow in a graph that underlies the computation. A O(n^3)-algorithm has been introduced for finding such a causal flow when the numbers of output and input ver…

动态因果结构的流动及其在相关性中的应用

Flow of dynamical causal structures with an application to correlations

本文提出动态因果结构流动工具，用于研究经典确定性过程的动态演变，并展示其在因果相关性中的应用，同时探讨其在量子领域的推广挑战。

Appearance of causality in process matrices when performing fixed-basis measurements for two parties

The recently developed framework for quantum theory with no global causal order allows for quantum processes in which operations in local laboratories are neither causally ordered nor in a probabilistic mixture of definite causal orders. The causal relation between the laboratories is described by the process matrix. We show that, if the inputs of the laboratories are measured in a fixed basis, one can introduce an effective process matrix which is operationally indistinguishable from the original one. This effective process matrix can be obtained by applying the von Neumann- Luders update rul…

Reappraisal of the causal interpretation of quantum mechanics and of the quantum potential concept

The causal interpretation of quantum mechanics, as originally stated by deBroglie and Bohm, had several attractive features. Among these is the possibility that it could address some of the most fundamental questions on quantum phenomena. However, subsequent theoretical conjectures, which have now been included in the orthodox view of the deBroglie Bohm theory, are unphysical and have done much to undermine the original theory's appeal. We, therefore, return to the original theory as our starting point and address one of its perplexing areas: the quantum potential. By avoiding the unphysical c…

Quantum Liang Information Flow as Causation Quantifier

Liang information flow is a quantity widely used in classical network theory to quantify causation, and has been applied widely, for example, to finance and climate. The most striking aspect here is to freeze/subtract a certain node of the network to ascertain its causal influence to other nodes of the network. Such an approach is yet to be applied to quantum network dynamics. Here we generalize Liang information flow to the quantum domain using the von-Neumann entropy. Using that we propose to assess the relative importance of various nodes of a network to causally influence a target node. We…