Imagen de Portada

Practical Quantum Federated Learning for Privacy-Sensitive Healthcare: Communication Efficiency and Noise Resilience

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kamei, Suzukaze, Kawaguchi, Hideaki, Satoh, Takahiko
Formato:	Preprint
Publicado:	2026
Materias:	Quantum Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Quantitative Evaluation of Quantum/Classical Neural Network Using a Game Solver Metric
por: Kamei, Suzukaze, et al.
Publicado: (2025)

Enhancing the Dynamic Range of Quantum Sensing via Quantum Circuit Learning
por: Kawaguchi, Hideaki, et al.
Publicado: (2025)

QuBridge: Layer-wise Fidelity Decomposition in Quantum Computation Pipeline
por: Sotokawa, Kisho, et al.
Publicado: (2026)

Telemetry-Based Server Selection in the Quantum Internet via Cross-Layer Runtime Estimation
por: Nagai, Masaki, et al.
Publicado: (2026)

RuleSet Generation Framework for Application Layer Integration in Quantum Internet
por: Kawano, Rei, et al.
Publicado: (2025)

Dense packing of the surface code: code deformation procedures and hook-error-avoiding gate scheduling
por: Fujiu, Kohei, et al.
Publicado: (2025)

Digital Annealer-Assisted Accuracy-First Quantum Circuit Transpilation with Integrated QUBO Mapping and Routing
por: Watanabe, Kazuma, et al.
Publicado: (2026)

A Neutral-Atom Quantum Compiler with Application-Specific Layout and Hub-Assisted Shuttling
por: Satoh, Takahiko, et al.
Publicado: (2026)

Quantum-Enhanced Processing with Tensor-Network Frontends for Privacy-Aware Federated Medical Diagnosis
por: Yamauchi, Hiroshi, et al.
Publicado: (2026)

Applicability and Limitations of Quantum Circuit Cutting in Classical State-Vector Simulation
por: Matsumoto, Mitsuhiro, et al.
Publicado: (2026)

Treewidth-Aware Gate Cut Selection for Reducing Transpilation Overhead on Superconducting Quantum Devices
por: Ebi, Hana, et al.
Publicado: (2026)

SU(4) gate design via unitary process tomography: its application to cross-resonance based superconducting quantum devices
por: Sugawara, Michihiko, et al.
Publicado: (2025)

Improved sampling bounds and scalable partitioning for quantum circuit cutting beyond bipartitions
por: Nakamura, Junya, et al.
Publicado: (2025)

Enhanced Sensitivity and Noise Resilience in Two-Qubit Quantum Magnetometers
por: Shishavan, S. Nohekhan, et al.
Publicado: (2025)

Noise Resilient 1SDIQKD for Practical Quantum Networks
por: Arslan, Syed M, et al.
Publicado: (2026)

Noise-Resilient Quantum Reinforcement Learning
por: Yue, Jing-Ci, et al.
Publicado: (2025)

Simultaneous execution of quantum circuits on current and near-future NISQ systems
por: Ohkura, Yasuhiro, et al.
Publicado: (2021)

Pulse-engineered Controlled-V gate and its applications on superconducting quantum device
por: Satoh, Takahiko, et al.
Publicado: (2021)

Noise-Resilient Quantum Metrology with Quantum Computing
por: Wang, Xiangyu, et al.
Publicado: (2025)

Noise-Resilient Quantum Metrology
por: Loughlin, Hudson A., et al.
Publicado: (2025)

Light-cone feature selection for quantum machine learning
por: Suzuki, Yudai, et al.
Publicado: (2024)

Estimation of mutual information via quantum kernel method
por: Maeda, Yota, et al.
Publicado: (2023)

Quantum Circuit Learning Using Non-Integrable System Dynamics
por: Sato, Ryutaro, et al.
Publicado: (2025)

Attacking the Quantum Internet
por: Satoh, Takahiko, et al.
Publicado: (2020)

Noise-Resilient Quantum Chemistry with Half the Qubits
por: McFarthing, Shane, et al.
Publicado: (2026)

Noise-Resilient Quantum Random Access Codes
por: Karthik, H. S., et al.
Publicado: (2024)

Optimality and Noise-Resilience of Critical Quantum Sensing
por: Alushi, Uesli, et al.
Publicado: (2024)

Quantum Reservoir Autoencoder: Conditions, Protocol, and Noise Resilience
por: Wakaura, Hikaru, et al.
Publicado: (2026)

Noise-Resilient Spatial Search with Lackadaisical Quantum Walks
por: Vieira, Gabriel Mauricio Oswald, et al.
Publicado: (2025)

Differentially Private Federated Quantum Learning via Quantum Noise
por: Pokharel, Atit, et al.
Publicado: (2025)

Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK
por: Kiwit, Florian J., et al.
Publicado: (2024)

Overcoming Noise Limitations in QKD with Quantum Privacy Amplification
por: Sohr, Philipp, et al.
Publicado: (2024)

Noise Resilience of Spin Quantum Battery in the presence of DM Interactions
por: B, Vigneshwar, et al.
Publicado: (2025)

Personalized Quantum Federated Learning for Privacy Image Classification
por: Shi, Jinjing, et al.
Publicado: (2024)

Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers
por: Nicoli, Kim A., et al.
Publicado: (2025)

Crosstalk-Resilient Quantum MIMO for Scalable Quantum Communications
por: Koudia, Seid, et al.
Publicado: (2025)

Efficient and Noise-Resilient Molecular Quantum Simulation with the Generalized Superfast Encoding
por: Brown, James, et al.
Publicado: (2025)

NRQNN: The Role of Observable Selection in Noise-Resilient Quantum Neural Networks
por: Kashif, Muhammad, et al.
Publicado: (2025)

Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning
por: Ju, Keyi, et al.
Publicado: (2023)

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning
por: Phan, Duc-Thien, et al.
Publicado: (2025)