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Riverlane Demonstrates Data-Driven DEM Augmentation to Reduce

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…

Source: Quantum Computing Report · Opens in new tab