Adaptive Compressive Tomography with No a priori Information
Ahn D, Teo YS, Jeong H, Bouchard F, Hufnagel F, Karimi E, Koutny D, Rehacek J, Hradil Z, Leuchs G, Sanchez-Soto LL (2019)
Publication Type: Journal article
Publication year: 2019
Journal
Book Volume: 122
Article Number: 100404
Journal Issue: 10
DOI: 10.1103/PhysRevLett.122.100404
Abstract
Quantum state tomography is both a crucial component in the field of quantum information and computation and a formidable task that requires an incogitable 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.
Authors with CRIS profile
Involved external institutions
Max-Planck-Institut für die Physik des Lichts (MPL) / Max Planck Institute for the Science of Light
Germany (DE)
Seoul National University (SNU) / 서울대학교
Korea, Republic of (KR)
University of Ottawa
Canada (CA)
Palacky University Olomouc / Univerzita Palackého v Olomouci
Czech Republic (CZ)
Germany (DE)
Seoul National University (SNU) / 서울대학교
Korea, Republic of (KR)
University of Ottawa
Canada (CA)
Palacky University Olomouc / Univerzita Palackého v Olomouci
Czech Republic (CZ)
How to cite
APA:
Ahn, D., Teo, Y.S., Jeong, H., Bouchard, F., Hufnagel, F., Karimi, E.,... Sanchez-Soto, L.L. (2019). Adaptive Compressive Tomography with No a priori Information. Physical Review Letters, 122(10). https://doi.org/10.1103/PhysRevLett.122.100404
MLA:
Ahn, D., et al. "Adaptive Compressive Tomography with No a priori Information." Physical Review Letters 122.10 (2019).
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