Benchmarking Accuracy in an Emulated Memory Experiment
Tim Chan

TL;DR
This paper introduces a simplified approach to determine the logical error rate in emulated surface code memory experiments, aiding in more efficient benchmarking of quantum error correction methods.
Contribution
It presents a new, streamlined method for extracting logical error rates from surface code emulation experiments, improving benchmarking efficiency.
Findings
Simpler extraction method for logical error rates
Enhanced benchmarking process for quantum memory experiments
Potential for broader application in quantum error correction
Abstract
This note proposes a simpler method to extract the logical error rate from an emulated surface code memory experiment.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNeural Networks and Applications
