Single-shot quantum error correction in intertwined toric codes

Ordinary fault-tolerant quantum memories, such as the toric code, require many rounds of measurements before a single round of error correction can be performed. On the other hand, single-shot quantum memories require only a single round (``shot'') of measurements per round of correction. Using physical motivations, the author shows here how to build a single-shot quantum memory out of ordinary toric codes, allowing for connections to toric code physics including the confinement and deconfinement of anyons.

Authors

Institutions

Publication Details

Journal
Physical review. B./Physical review. B
Published
2024-08-23
DOI
https://doi.org/10.1103/physrevb.110.075143
Citations
6
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
1.74

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-shot quantum error correction in intertwined toric codes

Charles Stahl
6 citations
Physical review. B./Physical review. B
Quantum Computing Algorithms and Architecture
1.74
article

Single-shot quantum error correction in intertwined toric codes

Charles Stahl
article en
6 citations

Abstract

Ordinary fault-tolerant quantum memories, such as the toric code, require many rounds of measurements before a single round of error correction can be performed. On the other hand, single-shot quantum memories require only a single round (``shot'') of measurements per round of correction. Using physical motivations, the author shows here how to build a single-shot quantum memory out of ordinary toric codes, allowing for connections to toric code physics including the confinement and deconfinement of anyons.

Physical review. B./Physical review. BVol. 110(7)
University of Colorado Boulder (US), University of Colorado System (US)
U.S. Department of Energy, Office of Science, Basic Energy Sciences
Peace, Justice and strong institutions
Openalex Percentile: Top 13%
Quantum Computing Algorithms and Architecture
1.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.