2 papers
quant-ph2026
Practical Quantum Federated Learning for Privacy-Sensitive Healthcare: Communication Efficiency and Noise Resilience
Suzukaze Kamei, Hideaki Kawaguchi, Takahiko Satoh
AI-driven medical diagnostics increasingly requires collaborative model training across institutions, yet centralizing patient data conflicts with privacy regulations. Federated Le…
quant-ph2025
Quantitative Evaluation of Quantum/Classical Neural Network Using a Game Solver Metric
Suzukaze Kamei, Hideaki Kawaguchi, Shin Nishio +1
To evaluate the performance of quantum computing systems relative to classical counterparts and explore the potential, we propose a game-solving benchmark based on Elo ratings in t…