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20232026
most citedMachine-learning-inspired quantum optimal control of nonadiabatic geometric quantum computation via reverse engineering

8 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.str-el2026

Tighter thermalization bounds for perturbed quantum many-body scars

Meng-Yun Mao, Zhixiang Sun, Wen-Long You

Quantum many-body scars (QMBS) are exceptional eigenstates that defy thermalization, enabling long-lived coherent dynamics in strongly interacting systems. However, their stability…

quant-ph2025★ 5 cited

Yang-Lee edge singularity and quantum criticality in non-Hermitian PXP model

Wen-Yi Zhang, Meng-Yun Mao, Qing-Min Hu +3

We present a comprehensive theoretical framework for quantum criticality in the non-Hermitian detuned PXP model, and establish the complete phase diagram, which had remained elusiv…

nucl-th2024

Evidence for Three- Breathing Modes Uncovered by Control Neural Network

Zheng Cheng, Mengjiao Lyu, Takayuki Myo +9

This work introduces a new Control Neural Network (Ctrl.NN) method to uncover evidence of exotic quantum state, \textit{i.e.}, the breathing modes in 3- resonant states of $^{12…

quant-ph2024★ 2 cited

Machine-learning-inspired quantum control in many-body dynamics

Meng-Yun Mao, Zheng Cheng, Liangsheng Li +2

Achieving precise preparation of quantum many-body states is crucial for the practical implementation of quantum computation and quantum simulation. However, the inherent challenge…

quant-ph2023★ 8 cited

Machine-learning-inspired quantum optimal control of nonadiabatic geometric quantum computation via reverse engineering

Meng-Yun Mao, Zheng Cheng, Yan Xia +2

Quantum control plays an irreplaceable role in practical use of quantum computers. However, some challenges have to be overcome to find more suitable and diverse control parameters…