2 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
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…