Is data-efficient learning feasible with quantum models?

Documenti analoghi

• Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
  di: Sakhnenko, Alona, et al.
  Pubblicazione: (2024)
• A Hyperparameter Study for Quantum Kernel Methods
  di: Egginger, Sebastian, et al.
  Pubblicazione: (2023)
• Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications
  di: Hernicht, Philip Anton, et al.
  Pubblicazione: (2025)
• Identifying Bottlenecks of NISQ-friendly HHL algorithms
  di: Marfany, Marc Andreu, et al.
  Pubblicazione: (2024)
• Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models
  di: Wu, Tongyan, et al.
  Pubblicazione: (2025)