5 papers
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…
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…
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,…
Quantum State Preparation via Free Binary Decision Diagram
Yu Tanaka, Hayata Yamasaki, Mio Murao
Quantum state preparation (QSP) is a fundamental task in quantum computation to prepare a quantum state for a given classical description of the quantum state. The classical descri…
How to Map Linear Differential Equations to Schrödinger Equations via Carleman and Koopman-von Neumann Embeddings for Quantum Algorithms
Yuki Ito, Yu Tanaka, Keisuke Fujii
Solving linear and nonlinear differential equations with large degrees of freedom is an important task for scientific and industrial applications. In order to solve such differenti…