arXiv ID: 2209.09267v1
Title: Learning logical quantum noise in quantum error correction
Language: English
Authors: Wagner, Thomas 
Kampermann, Hermann 
Bruß, Dagmar 
Kliesch, Martin 
Keywords: Quantum Physics; Quantum Physics
Issue Date: 19-Sep-2022
Source: arXiv:2209.09267v1 (2022-09-19)
Abstract (english): 
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.
URI: http://hdl.handle.net/11420/14134
Document Type: Preprint
Project: Skalierbarer Quantencomputer mit Hochfrequenz‐gesteuerten gespeicherten Ionen 
Verifizierung und Charakterisierung von Quantentechnologie 
Appears in Collections:Publications without fulltext

Show full item record

Page view(s)

17
checked on Dec 9, 2022

Google ScholarTM

Check

Add Files to Item

Note about this record

Export

Items in TORE are protected by copyright, with all rights reserved, unless otherwise indicated.