Preprint Open Access

Adaptive Compressive Tomography with No a priori Information

Ahn, D; Karimi, Ebrahim

Quantum state tomography is both a crucial component in the field of quantum information and computation, and a formidable task that requires an incogitably large number of measurement configurations as the system dimension grows. We propose and experimentally carry out an intuitive adaptive compressive tomography scheme, inspired by the traditional compressed-sensing protocol in signal recovery, that tremendously reduces the number of configurations needed to uniquely reconstruct any given quantum state without any additional a priori assumption whatsoever (such as rank information, purity, etc) about the state, apart from its dimension.

Files (421.2 kB)
Name Size
1812.05289.pdf
md5:3a02075a5deac92cad0446f4a9c5ce9e
421.2 kB Download
11
15
views
downloads
Views 11
Downloads 15
Data volume 6.5 MB
Unique views 9
Unique downloads 12

Share

Cite as