7 papers
Quantum-Enhanced Processing with Tensor-Network Frontends for Privacy-Aware Federated Medical Diagnosis
Hiroshi Yamauchi, Anders Peter Kragh Dalskov, Hideaki Kawaguchi +1
We propose a privacy-aware hybrid framework for federated medical image classification that combines tensor-network representation learning, MPC-secured aggregation, and post-aggre…
Telemetry-Based Server Selection in the Quantum Internet via Cross-Layer Runtime Estimation
Masaki Nagai, Hideaki Kawaguchi, Shin Nishio +1
The Quantum Internet will allow clients to delegate quantum workloads to remote servers over heterogeneous networks, but choosing the server that minimizes end-to-end execution tim…
Enhancing the Dynamic Range of Quantum Sensing via Quantum Circuit Learning
Hideaki Kawaguchi, Yuichiro Mori, Takahiko Satoh +1
Quantum metrology is a promising application of quantum technologies, enabling the precise measurement of weak external fields at a local scale. In typical quantum sensing protocol…
Extension of Dynamic Network Biomarker using the propensity score method: Simulation of causal effects on variance and correlation coefficient
Satoru Shinoda, Hideaki Kawaguchi
In clinical biomarker studies, the Dynamic Network Biomarker (DNB) is sometimes used. DNB is a composite variable derived from the variance and the Pearson correlation coefficient…
Identification of Phase Plate Properties Using Photonic Quantum Sensor Networks
Yusuke Machida, Hiroki Kuji, Yuichiro Mori +5
Quantum sensor networks (QSNs) have been widely studied for their potential of precise measurements. While most QSN research has focused on estimating continuous variables, recent…
Quantum Circuit Learning Using Non-Integrable System Dynamics
Ryutaro Sato, Yasuhiro Aota, Takaharu Yoishida +4
Quantum machine learning is an approach that aims to improve the performance of machine learning methods by leveraging the properties of quantum computers. In quantum circuit learn…