Work

Local Cellular-Automaton Decoder for the Noisy 2D Toric Code

Year: 2025

Type: article

Abstract: We report on the performance of a local cellular-automaton method for suppressing independent Poisson errors on the 2D toric code. An ensemble of toric lattices of sizes up to L = 250 were simulated for time T ~ L, at error rate 0.4% ± 0.02% per time step. A critical threshold was observed at an error rate of roughly 0.4%, below which increasing the system size results in a decrease in decoding failure rate. This suggests that the local cellular-automaton method may an experimentally viable route to fault-tolerant quantum computing.

Source: Stanford Digital Repository

DOI: 10.25740/mn109mz2141

Authors: Sun, Daniel, Khemani, Vedika, Li, Yaodong, Stanford University

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6889646622

FWCI:

Cites:

Cited by:

Related to: