3 papers
quant-ph2025
Fusion of classical and quantum kernels enables accurate and robust two-sample tests
Yu Terada, Yugo Ogio, Ken Arai +2
Two-sample tests have been extensively employed in various scientific fields and machine learning such as evaluation on the effectiveness of drugs and A/B testing on different mark…
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,…