TY  - JOUR
AU  - Yong-Siah, Teo
AU  - Shin, Seongwood
AU  - Jeong, Hyunseok
AU  - Kim, Yosep
AU  - Kim, Yoon-Ho
AU  - Struchalin, Gleb. I.
AU  - Kovlakov, Egor V.
AU  - Straupe, Stanislav S.
AU  - Kulik, Sergei  P.
AU  - Leuchs, Gerd
AU  - Sánchez Soto, Luis Lorenzo
PY  - 2021
DO  - 10.1088/1367-2630/ac1fcb
SN  - 1367-2630
UR  - https://hdl.handle.net/20.500.14352/4546
T2  - New journal of physics
AB  - We train convolutional neural networks to predict whether or not a set of measurements is informationally complete to uniquely reconstruct any given quantum state with no prior information. In addition, we perform fidelity benchmarking based on this...
LA  - eng
PB  - IOP Publishing
KW  - Orbital angular-momentum
TI  - Benchmarking quantum tomography completeness and fidelity with machine learning
TY  - journal article
VL  - 23
ER  -