collaborators

11 papers

quant-ph2026

Dense packing of the surface code: code deformation procedures and hook-error-avoiding gate scheduling

Kohei Fujiu, Shota Nagayama, Shin Nishio +2

The surface code is one of the leading quantum error correction codes for realizing large-scale fault-tolerant quantum computing (FTQC). One major challenge in realizing surface-co…

quant-ph2026

QuBridge: Layer-wise Fidelity Decomposition in Quantum Computation Pipeline

Kisho Sotokawa, Hideaki Kawaguchi, Shin Nishio +1

Running a quantum circuit on current hardware involves a sequence of engineering decisions, each with tunable parameters and distinct error characteristics. Existing tools optimize…

quant-ph2026

Digital Annealer-Assisted Accuracy-First Quantum Circuit Transpilation with Integrated QUBO Mapping and Routing

Kazuma Watanabe, Hideaki Kawaguchi, Shin Nishio +1

In the Noisy Intermediate-Scale Quantum (NISQ) era, limited qubit counts and high gate error rates directly constrain circuit fidelity, making the minimization of CNOT gate counts…

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-ph2026

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…

quant-ph2026

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…