2 papers
quant-ph2025
Physics-Informed Neural Networks with Adaptive Constraints for Multi-Qubit Quantum Tomography
Changchun Feng, Laifa Tao, Lin Chen
Quantum state tomography (QST) faces exponential measurement requirements and noise sensitivity in multi-qubit systems, bottlenecking practical quantum technologies. We present a p…
quant-ph2025
Machine Learning Framework for Efficient Prediction of Quantum Wasserstein Distance
Changchun Feng, Xinyu Qiu, Laifa Tao +1
The quantum Wasserstein distance (W-distance) is a fundamental metric for quantifying the distinguishability of quantum operations, with critical applications in quantum error corr…