collaborators

11 papers

quant-ph2026

Qubit Loss Inference with Stabilizer Codes without Leakage Detection Units

Shin Nishio, Takeaki Uno, Fumiyoshi Kobayashi +2

Qubit loss occurs when the physical carrier of a qubit leaves the computational system without directly revealing the event's location. Such errors are a major obstacle to fault-to…

quant-ph2026

A Neutral-Atom Quantum Compiler with Application-Specific Layout and Hub-Assisted Shuttling

Takahiko Satoh, Takaharu Yoshida

Compiling arbitrary-connectivity NISQ circuits onto monolithic single-zone neutral-atom devices is constrained by a finite interaction range and a minimum separation between simult…

quant-ph2026

Treewidth-Aware Gate Cut Selection for Reducing Transpilation Overhead on Superconducting Quantum Devices

Hana Ebi, Shin Nishio, Takahiko Satoh

On superconducting quantum devices with sparse qubit connectivity, transpilation of long-range two-qubit interactions inserts additional SWAP gates, increasing hardware cost and ex…

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 CNOT Oriented Quantum Circuit Transpilation with Integrated QUBO Mapping and Routing

Kazuma Watanabe, Hideaki Kawaguchi, Shin Nishio +1

Limited qubit counts and two-qubit gate errors motivate reducing CNOT overhead in noisy intermediate-scale quantum (NISQ) transpilation. In circuit-partitioning workflows, repeated…

quant-ph2026

Applicability and Limitations of Quantum Circuit Cutting in Classical State-Vector Simulation

Mitsuhiro Matsumoto, Shinichiro Sanji, Takahiko Satoh

Circuit cutting partitions a large quantum circuit into smaller subcircuits that can be executed independently and recombined by classical post-processing. In classical state-vecto…

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

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…

quant-ph2025

RuleSet Generation Framework for Application Layer Integration in Quantum Internet

Rei Kawano, Shin Nishio, Hideaki Kawaguchi +2

Layered architectures for the Quantum Internet have been proposed, inspired by that of the classical Internet, which has demonstrated high maintainability even in large-scale syste…

quant-ph2025

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-ph2025

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…