2014
DOI: 10.1088/1367-2630/16/9/093045
|View full text |Cite
|
Sign up to set email alerts
|

Logical error rate scaling of the toric code

Abstract: To date, a great deal of attention has focused on characterizing the performance of quantum error correcting codes via their thresholds, the maximum correctable physical error rate for a given noise model and decoding strategy. Practical quantum computers will necessarily operate below these thresholds meaning that other performance indicators become important. In this work we consider the scaling of the logical error rate of the toric code and demonstrate how, in turn, this may be used to calculate a key perf… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

3
24
0

Year Published

2014
2014
2021
2021

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 23 publications
(27 citation statements)
references
References 45 publications
3
24
0
Order By: Relevance
“…[64][65][66]. In our case, one can find that this function provides a good fit to our numerical data.…”
Section: Appendix F: the Error Model And Charge Tunnelling Errorssupporting
confidence: 72%
“…[64][65][66]. In our case, one can find that this function provides a good fit to our numerical data.…”
Section: Appendix F: the Error Model And Charge Tunnelling Errorssupporting
confidence: 72%
“…We determine the threshold p (d) th using a rescaling method [19,34]. Selecting data close to the point where the curves of different L cross (for fixed qudit dimension) we perform a fit to a function of the form…”
Section: Thresholds Estimation and Percolation Limitationmentioning
confidence: 99%
“…The question of how these protocols behave when well below threshold (i.e., the regime where a device would realistically operate) requires a different approach to the Monte Carlo simulations performed here, as considered in several recent works [31,32]. While this is beyond the scope of this paper, we note that using the medium protocol at half the threshold network error (7%) with a lattice size of L ¼ 16 yields a logical error rate per L stabilizer rounds of fewer than 1 in 10 6 .…”
mentioning
confidence: 99%