When quantum state tomography benefits from willful ignorance
| Autor: | Luis L. Sánchez-Soto, Zdeněk Hradil, Jaroslav Rehacek, Martin Paúr, L. Motka |
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| Rok vydání: | 2021 |
| Předmět: |
Physics
Quantum Physics media_common.quotation_subject General Physics and Astronomy FOS: Physical sciences Ignorance Quantum tomography 01 natural sciences Signal 010305 fluids & plasmas 0103 physical sciences Tomography Data patterns Optica 010306 general physics Quantum Physics (quant-ph) Algorithm media_common Óptica |
| Zdroj: | New J. Phys. E-Prints Complutense. Archivo Institucional de la UCM instname |
| ISSN: | 1367-2630 |
| DOI: | 10.1088/1367-2630/ac0fff |
| Popis: | We show that quantum state tomography with perfect knowledge of the measurement apparatus proves to be, in some instances, inferior to strategies discarding all information about the measurement at hand, as in the case of data pattern tomography. In those scenarios, the larger uncertainty about the measurement is traded for the smaller uncertainty about the reconstructed signal. This effect is more pronounced for minimal or nearly minimal informationally complete measurement settings, which are of utmost practical importance. Comment: 9 pages, 3 figures. Comments welcome! |
| Databáze: | OpenAIRE |
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