activity
20232026
most citedBrownian Gaussian Unitary Ensemble: non-equilibrium dynamics, efficient -design and application in classical shadow tomography

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

quant-ph2026

Measuring unconventional causal structures in monitored dynamics

Hong-Yi Wang, Haifeng Tang, Xiao-Liang Qi

Causality underpins all logical reasoning. However, the causal structure in quantum processes can be far from intuitive, often differing from its classical counterpart in relativit…

quant-ph2025

Measurement induced scrambling and emergent symmetries in random circuits

Haifeng Tang, Hong-Yi Wang, Zhong Wang +1

Quantum entanglement is affected by unitary evolution, which spreads the entanglement through the whole system, and also by measurements, which usually tends to disentangle subsyst…

quant-ph2024★ 1 cited

Estimating time in quantum chaotic systems and black holes

Haifeng Tang, Shreya Vardhan, Jinzhao Wang

We characterize new universal features of the dynamics of chaotic quantum many-body systems, by considering a hypothetical task of "time estimation." Most macroscopic observables i…

hep-th2024★ 2 cited

Brownian Gaussian Unitary Ensemble: non-equilibrium dynamics, efficient -design and application in classical shadow tomography

Haifeng Tang

We construct and extensively study a Brownian generalization of the Gaussian Unitary Ensemble (BGUE). Our analysis begins with the non-equilibrium dynamics of BGUE, where we derive…

hep-th2024

Entanglement entropy in type II von Neumann algebra: examples in Double-Scaled SYK

Haifeng Tang

An intriguing feature of type II von Neumann algebra is that the entropy of the mixed states is negative. Although the type classification of von Neumann algebra and its conseq…

hep-th2023★ 1 cited

Operator Krylov complexity in random matrix theory

Haifeng Tang

Krylov complexity, as a novel measure of operator complexity under Heisenberg evolution, exhibits many interesting universal behaviors and also bounds many other complexity measure…