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Kim A. Nicoli
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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
Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers
Simulating the Hubbard Model with Equivariant Normalizing Flows
Flow-based Sampling for Entanglement Entropy and the Machine Learning of Defects