1 citations · 2 across the 3 of their papers we have counts for
3 papers
quant-ph2026
Automating Variational Quantum Sensing through Reinforcement-Learned Circuit Structures
Jie Liu, Xin Wang
Variational quantum sensing offers a promising route to high-precision parameter estimation, but its performance depends strongly on the circuit architectures used for probe prepar…
quant-ph2025★ 1 cited
Hamiltonian Learning via Inverse Physics-Informed Neural Networks
Jie Liu, Xin Wang
Hamiltonian learning (HL), enabling precise estimation of system parameters and underlying dynamics, plays a critical role in characterizing quantum systems. However, conventional…
quant-ph2024★ 1 cited
Efficient Large-Scale Quantum Optimization via Counterdiabatic Ansatz
Jie Liu, Xin Wang
Quantum Approximate Optimization Algorithm (QAOA) is one of the fundamental variational quantum algorithms, while a version of QAOA that includes counterdiabatic driving, termed Di…