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quant-ph2025
Classical and quantum kernel fusion for two-sample testing
Yu Terada, Yugo Ogio, Ken Arai +2
Two-sample tests have been extensively employed in various scientific fields and machine learning to discriminate whether two sets of samples come from the same distribution or not…
cs.CR2025
Bullshark on Narwhal: Implementation-level Workflow Analysis of Round-based DAG Consensus in Theory and Practice
Yusei Tanaka
Round-based DAGs enable high-performance Byzantine fault-tolerant consensus, yet their technical advantages remain underutilized due to their short history. While research on conse…
quant-ph2025
Quantum-enhanced causal discovery for a small number of samples
Yu Terada, Ken Arai, Yu Tanaka +3
The discovery of causal relations from observed data has attracted significant interest from disciplines such as economics, social sciences, and biology. In practical applications,…