Enhanced repetition codes for the cross-platform comparison of progress towards fault-tolerance

TL;DR

This paper proposes enhanced methods for repetition code experiments to improve cross-platform benchmarking of fault-tolerance progress, including new analysis techniques for more detailed insights beyond logical error rates.

Contribution

It introduces expanded and improved repetition code experimental methods that maintain cross-platform compatibility and offers novel analysis approaches for better insights.

Findings

Enhanced experimental methods for repetition codes

New analysis techniques for detailed insights

Improved cross-platform benchmarking capabilities

Abstract

Achieving fault-tolerance will require a strong relationship between the hardware and the protocols used. Different approaches will therefore naturally have tailored proof-of-principle experiments to benchmark progress. Nevertheless, repetition codes have become a commonly used basis of experiments that allow cross-platform comparisons. Here we propose methods by which repetition code experiments can be expanded and improved, while retaining cross-platform compatibility. We also consider novel methods of analyzing the results, which offer more detailed insights than simple calculation of the logical error rate.