Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published May 4, 2018 | Submitted + Published + Supplemental Material
Journal Article Open

Three-dimensional color code thresholds via statistical-mechanical mapping

Abstract

Three-dimensional (3D) color codes have advantages for fault-tolerant quantum computing, such as protected quantum gates with relatively low overhead and robustness against imperfect measurement of error syndromes. Here we investigate the storage threshold error rates for bit-flip and phase-flip noise in the 3D color code (3DCC) on the body-centered cubic lattice, assuming perfect syndrome measurements. In particular, by exploiting a connection between error correction and statistical mechanics, we estimate the threshold for 1D stringlike and 2D sheetlike logical operators to be p^((1))_(3DCC) ≃ 1.9% and p^((2))_(3DCC) ≃ 27.6%. We obtain these results by using parallel tempering Monte Carlo simulations to study the disorder-temperature phase diagrams of two new 3D statistical-mechanical models: the four- and six-body random coupling Ising models.

Additional Information

© 2018 American Physical Society. Received 30 September 2017; published 4 May 2018. We thank R. Andrist, H. Bombín, N. Delfosse, L. Pryadko, B. Yoshida, and I. Zintchenko for helpful discussions. A. K. would like to thank the QuArC group for their hospitality during a summer internship. We acknowledge funding provided by the Institute for Quantum Information and Matter, an NSF Physics Frontiers Center (NSF Grant No. PHY-1125565) with support of the Gordon and Betty Moore Foundation (GBMF-2644).

Attached Files

Published - PhysRevLett.120.180501.pdf

Submitted - 1708.07131.pdf

Supplemental Material - statmech_supplemental.pdf

Files

PhysRevLett.120.180501.pdf
Files (2.5 MB)
Name Size Download all
md5:89e61ec4591ae5a9c9229d34fecfaca1
398.8 kB Preview Download
md5:21b14d9b56ce0c032da0d22334847166
871.8 kB Preview Download
md5:ded38eac02bd1abce2a8fc754f3db673
1.3 MB Preview Download

Additional details

Created:
August 19, 2023
Modified:
March 5, 2024