skip to main content

DOE PAGESDOE PAGES

This content will become publicly available on December 27, 2018

Title: Weaving and neural complexity in symmetric quantum states

Here, we study the behaviour of two different measures of the complexity of multipartite correlation patterns, weaving and neural complexity, for symmetric quantum states. Weaving is the weighted sum of genuine multipartite correlations of any order, where the weights are proportional to the correlation order. The neural complexity, originally introduced to characterize correlation patterns in classical neural networks, is here extended to the quantum scenario. We derive closed formulas of the two quantities for GHZ states mixed with white noise.
Authors:
 [1] ; ORCiD logo [2]
  1. Univ. de Cordoba, Monteria (Colombia)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Report Number(s):
LA-UR-17-29411
Journal ID: ISSN 0030-4018
Grant/Contract Number:
AC52-06NA25396
Type:
Accepted Manuscript
Journal Name:
Optics Communications
Additional Journal Information:
Journal Volume: 413; Journal Issue: C; Journal ID: ISSN 0030-4018
Publisher:
Elsevier
Research Org:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org:
USDOE Laboratory Directed Research and Development (LDRD) Program
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; Mathematics; Quantum Correlations; Quantum Many-Body Systems; Complexity
OSTI Identifier:
1417826