9 papers
Data-Driven Learnability Transition of Measurement-Induced Entanglement
Dongheng Qian, Jing Wang
Measurement-induced entanglement (MIE) captures how local measurements generate long-range quantum correlations and drive dynamical phase transitions in many-body systems. Yet esti…
Enhancing Neural-Network Variational Monte Carlo through Basis Transformation
Zhixuan Liu, Dongheng Qian, Jing Wang
Neural-network variational Monte Carlo (NNVMC) has emerged as a powerful tool for solving quantum many-body problems, yet systematic pathways for improving its accuracy remain larg…
Revealing Superconducting Chiral Edge Modes via Resistance Distributions
Linghao Huang, Dongheng Qian, Jing Wang
Inducing superconducting correlations in quantum anomalous Hall (QAH) states offers a promising route to realize topological superconductivity with chiral Majorana edge modes. Howe…
Coherent Information Phase Transition in a Noisy Quantum Circuit
Dongheng Qian, Jing Wang
Coherent information quantifies the transmittable quantum information through a channel and is directly linked to the channel's quantum capacity. In a monitored quantum circuit, re…
Intrinsic Quantum Mpemba Effect in Markovian Systems and Quantum Circuits
Dongheng Qian, Huan Wang, Jing Wang
The quantum Mpemba effect (QME) describes the counterintuitive phenomenon in which a system farther from equilibrium reaches steady state faster than one closer to equilibrium. How…
Quantum Non-Local Nonstabilizerness
Dongheng Qian, Jing Wang
Quantum entanglement and quantum nonstabilizerness are fundamental resources that characterize distinct aspects of a quantum state: entanglement reflects non-local correlations, wh…