Published June 1, 2004
| Version v1
Journal article
Iterative maximum-likelihood reconstruction in quantum homodyne tomography
Description
I propose an iterative expectation maximization algorithm for reconstructing the density matrix of an optical ensemble from a set of balanced homodyne measurements. The algorithm applies directly to the acquired data, bypassing the intermediate step of calculating marginal distributions. The advantages of the new method are made manifest by comparing it with the traditional inverse Radon transformation technique
Availability note (English)
Available online at http://stacks.iop.org/1464-4266/6/S556/job4_6_014.pdf or at the Web site for the Journal of Optics. B, Quantum and Semiclassical Optics (Print) (ISSN 1464-4266) http://www.iop.org/Additional details
Identifiers
- URL
- http://stacks.iop.org/1464-4266/6/S556/job4_6_014.pdf; http://www.iop.org/;
- DOI
- 10.1088/1464-4266/6/6/014;
- PII
- S1464-4266(04)72834-7;
Publishing Information
- Journal Title
- Journal of Optics. B, Quantum and Semiclassical Optics (Print)
- Journal Volume
- 6
- Journal Issue
- 6
- Journal Page Range
- p. S556-S559
- ISSN
- 1464-4266
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 35077472
- Subject category
- S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- ALGORITHMS; DENSITY MATRIX; DISTRIBUTION; ITERATIVE METHODS; MAXIMUM-LIKELIHOOD FIT; QUANTUM MECHANICS; TOMOGRAPHY; TRANSFORMATIONS
- Descriptors DEC
- CALCULATION METHODS; DIAGNOSTIC TECHNIQUES; MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS; MATRICES; MECHANICS; NUMERICAL SOLUTION