120 citations · 499 across the 23 of their papers we have counts for
12 papers · 1 filter
Neural network approach to quasiparticle dispersions in doped antiferromagnets
Hannah Lange, Fabian Döschl, Juan Carrasquilla +1
Numerically simulating spinful, fermionic systems is of great interest from the perspective of condensed matter physics. However, the exponential growth of the Hilbert space dimens…
Investigating Topological Order using Recurrent Neural Networks
Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla
Recurrent neural networks (RNNs), originally developed for natural language processing, hold great promise for accurately describing strongly correlated quantum many-body systems.…
Autoregressive Transformer Neural Network for Simulating Open Quantum Systems via a Probabilistic Formulation
Di Luo, Zhuo Chen, Juan Carrasquilla +1
The theory of open quantum systems lays the foundations for a substantial part of modern research in quantum science and engineering. Rooted in the dimensionality of their extended…
Protocol Discovery for the Quantum Control of Majoranas by Differentiable Programming and Natural Evolution Strategies
Luuk Coopmans, Di Luo, Graham Kells +2
Quantum control, which refers to the active manipulation of physical systems described by the laws of quantum mechanics, constitutes an essential ingredient for the development of…
Visualizing Strange Metallic Correlations in the 2D Fermi-Hubbard Model with AI
Ehsan Khatami, Elmer Guardado-Sanchez, Benjamin M. Spar +3
Strongly correlated phases of matter are often described in terms of straightforward electronic patterns. This has so far been the basis for studying the Fermi-Hubbard model realiz…
Probabilistic Simulation of Quantum Circuits with the Transformer
Juan Carrasquilla, Di Luo, Felipe Pérez +4
The fundamental question of how to best simulate quantum systems using conventional computational resources lies at the forefront of condensed matter and quantum computation. It im…