TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Learning logical quantum noise in quantum error correction
 
Options

Learning logical quantum noise in quantum error correction

Publikationstyp
Journal Article
Date Issued
2023-05-19
Sprache
English
Author(s)
Wagner, Thomas  
Kampermann, Hermann  
Bruß, Dagmar  
Kliesch, Martin  
Quantum-Inspired and Quantum Optimization E-25  
TORE-URI
http://hdl.handle.net/11420/14134
Journal
Physical review letters  
Volume
130
Issue
20
Article Number
200601
Citation
Physical Review Letters 130 (20): 200601 (2023-05-19)
Publisher DOI
10.1103/PhysRevLett.130.200601
Scopus ID
2-s2.0-85160885534
ArXiv ID
2209.09267v1
The characterization of quantum devices is crucial for their practical implementation but can be costly in experimental effort and classical post-processing. Therefore, it is desirable to measure only the information that is relevant for specific applications and develop protocols that require little additional effort. In this work, we focus on the characterization of quantum computers in the context of stabilizer quantum error correction. Our main result is that the logical error channel induced by Pauli noise can be estimated from syndrome data under minimal conditions. More precisely, we show that the estimation is possible as long as the code can correct the noise.
Subjects
Quantum Physics
Funding(s)
Skalierbarer Quantencomputer mit Hochfrequenz‐gesteuerten gespeicherten Ionen  
Verifizierung und Charakterisierung von Quantentechnologie  
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback