Cover Image

Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Tongyan, Bentellis, Amine, Sakhnenko, Alona, Lorenz, Jeanette Miriam
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
by: Sakhnenko, Alona, et al.
Published: (2024)

Discovering Data Encoding Strategies for Quantum-Classical Neural Networks Using Monte Carlo Tree Search
by: Tokuhiro, Lena, et al.
Published: (2026)

A Hyperparameter Study for Quantum Kernel Methods
by: Egginger, Sebastian, et al.
Published: (2023)

Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications
by: Hernicht, Philip Anton, et al.
Published: (2025)

Application-Driven Benchmarking of the Traveling Salesperson Problem: a Quantum Hardware Deep-Dive
by: Bentellis, Amine, et al.
Published: (2025)

Identifying Bottlenecks of NISQ-friendly HHL algorithms
by: Marfany, Marc Andreu, et al.
Published: (2024)

Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning
by: Winderl, David, et al.
Published: (2024)

Predominant Aspects on Security for Quantum Machine Learning: Literature Review
by: Franco, Nicola, et al.
Published: (2024)

Is data-efficient learning feasible with quantum models?
by: Sakhnenko, Alona, et al.
Published: (2025)

Benchmarking the Variational Quantum Eigensolver using different quantum hardware
by: Bentellis, Amine, et al.
Published: (2023)

Quadratic Advantage with Quantum Randomized Smoothing Applied to Time-Series Analysis
by: Franco, Nicola, et al.
Published: (2024)

A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods
by: Alavia, Azadeh, et al.
Published: (2025)

Hybrid Quantum-Classical Multi-Agent Pathfinding
by: Gerlach, Thore, et al.
Published: (2025)

Quantum-Enhanced Generative Adversarial Networks: Comparative Analysis of Classical and Hybrid Quantum-Classical Generative Adversarial Networks
by: Goh, Kun Ming
Published: (2025)

Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models
by: Hashemian, Sajjad, et al.
Published: (2025)

Flood Prediction Using Classical and Quantum Machine Learning Models
by: Grzesiak, Marek, et al.
Published: (2024)

Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)

A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
by: Chen, Yixiong
Published: (2026)

OrganiQ: Mitigating Classical Resource Bottlenecks of Quantum Generative Adversarial Networks on NISQ-Era Machines
by: Silver, Daniel, et al.
Published: (2024)

QuXAI: Explainers for Hybrid Quantum Machine Learning Models
by: Barua, Saikat, et al.
Published: (2025)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
by: Hasan, Mohammad Junayed, et al.
Published: (2023)

Quantum Convolutional Neural Network: A Hybrid Quantum-Classical Approach for Iris Dataset Classification
by: Tomal, S. M. Yousuf Iqbal, et al.
Published: (2024)

Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
by: Li, Bacui, et al.
Published: (2024)

Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning
by: Qi, Jun, et al.
Published: (2024)

The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
by: Freinberger, Dominik, et al.
Published: (2026)

Hybrid Quantum-Classical Selective State Space Artificial Intelligence
by: Ebrahimi, Amin, et al.
Published: (2025)

Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting
by: Chen, Chi-Sheng, et al.
Published: (2025)

From Classical to Quantum Reinforcement Learning and Its Applications in Quantum Control: A Beginner's Tutorial
by: Sen, Abhijit, et al.
Published: (2026)

Quantum-Assisted Simulation: A Framework for Developing Machine Learning Models in Quantum Computing
by: Rath, Minati, et al.
Published: (2023)

Hybrid Quantum-Classical Recurrent Neural Networks
by: Xu, Wenduan
Published: (2025)

A Spatio-Temporal Hybrid Quantum-Classical Graph Convolutional Neural Network Approach for Urban Taxi Destination Prediction
by: Zhang, Xiuying, et al.
Published: (2025)

Digital-Analog Quantum Machine Learning
by: Lamata, Lucas
Published: (2024)

Quantum Agents for Algorithmic Discovery
by: Kerenidis, Iordanis, et al.
Published: (2025)

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings
by: Ordóñez, Sebastian Cajas, et al.
Published: (2026)

From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
by: Hein, Daniel, et al.
Published: (2025)

Neural Network Emulation of the Classical Limit in Quantum Systems via Learned Observable Mappings
by: Majid, Kamran
Published: (2025)

Hamiltonian Formalism for Comparing Quantum and Classical Intelligence
by: Perrier, Elija
Published: (2025)

A Hybrid Quantum Neural Network for Split Learning
by: Cowlessur, Hevish, et al.
Published: (2024)

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity
by: L'Abbate, Ryan, et al.
Published: (2024)

Deep Learning in Classical and Quantum Physics
by: Heightman, Timothy, et al.
Published: (2025)