Quantum Computing Report

Riverlane Demonstrates Data-Driven DEM Augmentation to Reduce Surface-Code Logical Errors

Riverlane has developed a data-driven method to improve quantum error correction in surface-code architectures. By identifying unmodeled correlated error mechanisms from syndrome measurement data, their technique augments standard Detector Error Models (DEMs). This approach has shown significant reductions in logical error rates, up to 75% in simulations and 14% on physical hardware. The post Riverlane Demonstrates Data-Driven DEM Augmentation to Reduce Surface-Code Logical Errors appeared first

By Quantum Computing Report

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Riverlane Demonstrates Data-Driven DEM Augmentation to Reduce Surface-Code Logical Errors
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