Published February 1, 2020 | Version v1
Journal article Metadata-only

Semi-Density Matrices and Quantum Statistical Inference

Creators

  • 1. School of Mathematics, Statistics and Computer Science, University of Tehran, Tehran (Iran, Islamic Republic of)

Description

In this paper, inspired by the 'Minimum Description Length Principle' in classical statistics, we introduce a new method for predicting the outcomes of performing quantum measurements and for estimating the state of quantum systems. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/2399-6528/ab6fb3

Additional details

Identifiers

DOI
10.1088/2399-6528/ab6fb3;

Publishing Information

Journal Title
Journal of Physics Communications
Journal Volume
4
Journal Issue
2
Journal Page Range
[20 p.]
ISSN
2399-6528

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53010713
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
DENSITY MATRIX; QUANTUM MECHANICS; QUANTUM SYSTEMS; STATISTICS
Descriptors DEC
MATHEMATICS; MATRICES; MECHANICS