6 papers · 1 filter
All-optical neural network quantum state tomography
Ying Zuo, Chenfeng Cao, Ningping Cao +3
Quantum state tomography (QST) is a crucial ingredient for almost all aspects of experimental quantum information processing. As an analog of the "imaging" technique in the quantum…
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…