Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Merge two items
In other projects
Discussion
View source
View history
Purge
English
Log in

A scalable maximum likelihood method for quantum state tomography

From MaRDI portal
Publication:5141610
Jump to:navigation, search

DOI10.1088/1367-2630/15/12/125004zbMath1451.81048arXiv1308.2395OpenAlexW3101511621WikidataQ59459279 ScholiaQ59459279MaRDI QIDQ5141610

Marcus Cramer, Tillmann Baumgratz, A. Nüßeler, Martin B. Plenio

Publication date: 18 December 2020

Published in: New Journal of Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1308.2395



Mathematics Subject Classification ID

Quantum state estimation, approximate cloning (81P50) Quantum state tomography, quantum state discrimination (81P18)


Related Items (2)

A comparative study of estimation methods in quantum tomography ⋮ Petz recovery versus matrix reconstruction




Cites Work

  • Unnamed Item
  • Unnamed Item
  • The density-matrix renormalization group in the age of matrix product states
  • Colloquium: Area laws for the entanglement entropy
  • Optimal, reliable estimation of quantum states
  • Practical learning method for multi-scale entangled states
  • Quantum tomography via compressed sensing: error bounds, sample complexity and efficient estimators
  • Permutationally invariant state reconstruction
  • An area law for one-dimensional quantum systems
  • Recovering Low-Rank Matrices From Few Coefficients in Any Basis




This page was built for publication: A scalable maximum likelihood method for quantum state tomography

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:5141610&oldid=19678674"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
MaRDI portal item
This page was last edited on 8 February 2024, at 14:31.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki