Quantum error correction thresholds for the universal Fibonacci Turaev-Viro code

TL;DR

This paper investigates the error correction thresholds of a two-dimensional Fibonacci string-net quantum code, demonstrating a threshold of 4.7% depolarizing noise, and introduces new decoding strategies for universal quantum computation within the code.

Contribution

It presents the first estimated error correction threshold for a 2D universal quantum code based on Fibonacci anyons, using tensor networks and Monte Carlo simulations.

Findings

Error correction threshold of 4.7% for depolarizing noise

Development of measurement and gate strategies for error mapping

Comparison of different decoders' performance

Abstract

We consider a two-dimensional quantum memory of qubits on a torus which encode the extended Fibonaccistring-net code, and devise strategies for error correction when those qubits are subjected to depolarizing noise.Building on the concept of tube algebras, we construct a set of measurements and of quantum gates whichmap arbitrary qubit errors to the string-net subspace and allow for the characterization of the resulting errorsyndrome in terms of doubled Fibonacci anyons. Tensor network techniques then allow to quantitatively studythe action of Pauli noise on the string-net subspace. We perform Monte Carlo simulations of error correctionin this Fibonacci code, and compare the performance of several decoders. For the case of a fixed-rate samplingdepolarizing noise model, we find an error correction threshold of 4.7% using a clustering decoder. To the bestof our knowledge, this is the first time that a threshold has been estimated for a two-dimensional error correctingcode for which universal quantum computation can be performed within its code space via braiding anyons