Juan Carrasquilla

ETH Zurich, University of Waterloo, Vector Institute

Juan Carrasquilla's research has significantly advanced our understanding of quantum systems and their applications. Their work on autoregressive neural quantum states of Fermi Hubbard models and variational benchmarks for quantum many-body problems has improved the accuracy of simulations in these complex systems. Additionally, contributions to scalable quantum dynamics compilation via quantum machine learning, synthetic dataset of speckle images for fiber optic temperature sensor, and attention-based quantum tomography have enhanced the efficiency and effectiveness of quantum computing and sensing applications. Furthermore, research on neural error mitigation, autoregressive neural network for simulating open quantum systems, and visualizing strange metallic correlations with artificial intelligence has expanded our knowledge of quantum behavior in various materials.