Benchmarking Entanglement Distillation Across 477 Circuits

Abstract

This study revisits entanglement distillation through the lens of convolutional analysis. We assemble a dataset of 4416 observations and evaluate three competing models under matched conditions. Results show a 25% gain in accuracy alongside a marked reduction in variance between replicates. We release our data and code to support replication by other student researchers.