Kim A. Nicoli

Latest

• Computing quantum entanglement with machine learning
• Simulating Correlated Electrons with Symmetry-Enforced Normalizing Flows
• SESaMo: Symmetry-Enforcing Stochastic Modulation for Normalizing Flows
• Multilevel Generative Samplers for Investigating Critical Phenomena
• Adaptive Observation Cost Control for Variational Quantum Eigensolvers
• Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers
• Adaptive Observation Cost Control for Variational Quantum Eigensolvers,
• Bayesian Parameter Shift Rule in Variational Quantum Eigensolvers,
• Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers
• Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers,
• Multilevel Generative Samplers for Investigating Critical Phenomena,
• Simulating the Hubbard Model with Equivariant Normalizing Flows
• Simulating the Hubbard Model with Equivariant Normalizing Flows,
• Flow-based Sampling for Entanglement Entropy and the Machine Learning of Defects
• Flow-based Sampling for Entanglement Entropy and the Machine Learning of Defects,