5 papers
Neural Networks for Quantum Inverse Problems
Ningping Cao, Jie Xie, Aonan Zhang +3
Quantum Inverse Problem (QIP) is the problem of estimating an unknown quantum system from a set of measurements, whereas the classical counterpart is the Inverse Problem of est…
Higher Rank Matricial Ranges and Hybrid Quantum Error Correction
David W. Kribs, Ningping Cao, Chi-Kwong Li +3
We introduce and initiate the study of a family of higher rank matricial ranges, taking motivation from hybrid classical and quantum error correction coding theory and its operator…
Observing geometry of quantum states in a three-level system
Jie Xie, Aonan Zhang, Ningping Cao +7
In quantum mechanics, geometry has been demonstrated as a useful tool for inferring non-classical behaviors and exotic properties of quantum systems. One standard approach to illus…
Determining system Hamiltonian from eigenstate measurements without correlation functions
Shi-Yao Hou, Ningping Cao, Sirui Lu +3
Local Hamiltonians arise naturally in physical systems. Despite its seemingly `simple' local structure, exotic features such as nonlocal correlations and topological orders exhibit…
Local-measurement-based quantum state tomography via neural networks
Tao Xin, Sirui Lu, Ningping Cao +5
Quantum state tomography is a daunting challenge of experimental quantum computing even in moderate system size. One way to boost the efficiency of state tomography is via local me…