Details

Autor(en) / Beteiligte

• Ahn, D
• Teo, Y S
• Jeong, H
• Bouchard, F
• Hufnagel, F
• Karimi, E
• Koutný, D
• Řeháček, J
• Hradil, Z
• Leuchs, G
• Sánchez-Soto, L L

Titel

Adaptive Compressive Tomography with No a priori Information

Ist Teil von

• Physical review letters, 2019-03, Vol.122 (10), p.100404-100404, Article 100404

Ort / Verlag

United States: American Physical Society

Erscheinungsjahr

2019

Quelle

American Physical Society Journals

Beschreibungen/Notizen

• 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.