55 citations · 101 across the 6 of their papers we have counts for
6 papers
Neural networks for quantum state tomography with constrained measurements
Hailan Ma, Daoyi Dong, Ian R. Petersen +2
Quantum state tomography (QST) aiming at reconstructing the density matrix of a quantum state plays an important role in various emerging quantum technologies. Recognizing the chal…
Planar Integrated Magneto Optical Trap
Liang Chen, Chang-Jiang Huang, Xin-Biao Xu +10
Abstract The magneto-optical trap (MOT) is an essential tool for collecting and preparing cold atoms with a wide range of applications. We demonstrate a planar-integrated MOT by co…
Nonlocality, steering and quantum state tomography in a single experiment
Chang-Jiang Huang, Guo-Yong Xiang, Yu Guo +5
We investigate whether paradigmatic measurements for quantum state tomography, namely mutually unbiased bases and symmetric informationally complete measurements, can be employed t…
On compression rate of quantum autoencoders: Control design, numerical and experimental realization
Hailan Ma, Chang-Jiang Huang, Chunlin Chen +4
Quantum autoencoders which aim at compressing quantum information in a low-dimensional latent space lie in the heart of automatic data compression in the field of quantum informati…
Realization of a quantum autoencoder for lossless compression of quantum data
Chang-Jiang Huang, Hailan Ma, Qi Yin +6
As a ubiquitous aspect of modern information technology, data compression has a wide range of applications. Therefore, a quantum autoencoder which can compress quantum information…
Experimentally detecting a quantum change point via Bayesian inference
Shang Yu, Chang-Jiang Huang, Jian-Shun Tang +15
Detecting a change point is a crucial task in statistics that has been recently extended to the quantum realm. A source state generator that emits a series of single photons in a d…