publication . Preprint . Article . 2018

Adaptive Compressive Tomography with No a priori Information

Ahn, D.; Teo, Y. S.; Jeong, H.; Bouchard, F.; Hufnagel, F.; Karimi, E.; Koutny, D.; Rehacek, J.; Hradil, Z.; Leuchs, G.; ...
Open Access
  • Published: 13 Dec 2018
Abstract
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.
Subjects
free text keywords: Quantum Physics
Funded by
EC| Q-SORT
Project
Q-SORT
QUANTUM SORTER
  • Funder: European Commission (EC)
  • Project Code: 766970
  • Funding stream: H2020 | RIA
Communities
FET H2020FET OPEN: FET-Open research and innovation actions
FET H2020FET OPEN: QUANTUM SORTER
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