Skip to content
aiqbench takeQuantum Computing

aiqbench analysis

This paper introduces a novel analytical method for calculating logical error rates in surface codes, offering a computationally efficient alternative to expensive classical simulations of quantum decoders. By leveraging problem symmetry and combinatorial counting, the approach enables researchers to accurately predict failure probabilities across various physical error regimes without relying on minimal experimental data or extrapolation. This advancement is critical for optimizing qubit configurations and designing fault-tolerant architectures in near-term quantum computing experiments.
Sources coveringarXiv, AI Alignment Forum
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Closed form logical error rate approximations for surface codes

arXiv2 min read

arXiv:2605.03054v2 Announce Type: replace Abstract: We propose a novel method to calculate logical error rates in surface codes, assuming independent and identically distributed physical errors. These results fit well known scaling laws for studied physical error rates and code distances, but break down in some other regimes. We show how to use our method to analyze hypothetical quantum computers with various configurations and select designs with lower error rates. Currently, this requires expensive classical simulations of quantum decoders for various distances and physical error rates or inaccurate extrapolation from minimal experimental data. Instead, we use the symmetry of the problem to count the configurations that result in a logical error with our novel software. Given a physical error rate, we can deduce the probability of a logical error, to provably good accuracy. We include an analysis of measurement errors to allow a more complete comparison of different surface code implementations. We extend this counting method to a particular locally-correlated error model.

Abstract:We propose a novel method to calculate logical error rates in surface codes, assuming independent and identically distributed physical errors. These results fit well known scaling laws for studied physical error rates and code distances, but break down in some other regimes. We show how to use our method to analyze hypothetical quantum computers with various configurations and select designs with lower error rates. Currently, this requires expensive classical simulations of quantum decoders for various distances and physical error rates or inaccurate extrapolation from minimal experimental data. Instead, we use the symmetry of the problem to count the configurations that result in a logical error with our novel software. Given a physical error rate, we can deduce the probability of a logical error, to provably good accuracy. We include an analysis of measurement errors to allow a more complete comparison of different surface code implementations. We extend this counting method to a particular locally-correlated error model.

Quantum Physics (quant-ph); Discrete Mathematics (cs.DM); Combinatorics (math.CO)

arXiv:2605.03054 [quant-ph]

(or arXiv:2605.03054v2 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2605.03054 Focus to learn more arXiv-issued DOI via DataCite

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Full text under the publisher's open licence · 253 words

Related coverage