3 citations · 3 across the 5 of their papers we have counts for
5 papers
One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective
Juan Agustín Duque, Sergio García Heredia, Vinicius Hernandes +4
Neural quantum states (NQS) provide a flexible and scalable framework for approximating quantum many-body wavefunctions. Among NQS parameterizations, autoregressive models are espe…
Reconstructing Quantum Dot Charge Stability Diagrams with Diffusion Models
Vinicius Hernandes, Joseph Rogers, Rouven Koch +5
Efficiently characterizing quantum dot (QD) devices is a critical bottleneck when scaling quantum processors based on confined spins. Measuring high-resolution charge stability dia…
Adiabatic Fine-Tuning of Neural Quantum States Enables Detection of Phase Transitions in Weight Space
Vinicius Hernandes, Thomas Spriggs, Saqar Khaleefah +1
Neural quantum states (NQS) have emerged as a powerful tool for approximating quantum wavefunctions using deep learning. While these models achieve remarkable accuracy, understandi…
Exploring Biological Neuronal Correlations with Quantum Generative Models
Vinicius Hernandes, Eliska Greplova
Understanding of how biological neural networks process information is one of the biggest open scientific questions of our time. Advances in machine learning and artificial neural…
QDsim: A user-friendly toolbox for simulating large-scale quantum dot devices
Valentina Gualtieri, Charles Renshaw-Whitman, Vinicius Hernandes +1
We introduce QDsim, a python package tailored for the rapid generation of charge stability diagrams in large-scale quantum dot devices, extending beyond traditional double or tripl…