Measuring unconventional causal structures in monitored dynamics
Hong-Yi Wang, Haifeng Tang, Xiao-Liang Qi
TL;DR
This work tackles how causal structure in monitored quantum dynamics can deviate from classical intuition, introducing XEQCI as an experimentally accessible measure of quantum causal influence that remains robust to post-selection overhead. By combining a general framework with a concrete experimental protocol, it demonstrates, through Clifford-circuit simulations and analytically tractable models, that the arrow of time tends to flow from low to high entropy and that causal influence can propagate in inverted or nonlocal patterns depending on initial/final states and monitoring. The study uncovers universal aspects of QCI near measurement-induced phase transitions and reveals richer causal geometries in dual-unitary and Brownian models, illustrating the deep interplay between entropy, scrambling, and causal structure. These insights pave the way for practical measurements on current quantum hardware and offer new perspectives on information flow, causality, and emergent spacetime in quantum many-body systems.
Abstract
Causality underpins all logical reasoning. However, the causal structure in quantum processes can be far from intuitive, often differing from its classical counterpart in relativity, which is defined by the light cone. In particular, in systems with measurement and post-selection, causal influence can occur between spacelike separated regions. In this work, we study the causal structure and emergent "arrow of time" in monitored quantum dynamics, particularly their dependence on initial and final states. We propose a new measure, the cross-entropy quantum causal influence, to quantify the extent of causal influence, whose simulation demonstrates exotic causal structures, such as inverted light cones. This quantity can be measured in current quantum computing platforms. Additionally, we provide an analytical understanding of the relation between time arrow and entropy by studying two types of models that are analytically tractable: a quantum Brownian evolution model and a dual-unitary circuit model.
