Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generation

Documenti analoghi

• Model selection in hybrid quantum neural networks with applications to quantum transformer architectures
  di: Wadhwa, Harsh, et al.
  Pubblicazione: (2026)
• Meta-learning of Gibbs states for many-body Hamiltonians with applications to Quantum Boltzmann Machines
  di: Bhat, Ruchira V, et al.
  Pubblicazione: (2025)
• Enhancing variational quantum algorithms by balancing training on classical and quantum hardware
  di: Bhowmick, Rahul, et al.
  Pubblicazione: (2025)
• Non-native Quantum Generative Optimization with Adversarial Autoencoders
  di: Wilson, Blake A., et al.
  Pubblicazione: (2024)
• Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection
  di: Chandrasekhar, Swathi, et al.
  Pubblicazione: (2025)