31 citations · 95 across the 8 of their papers we have counts for
9 papers
The Blume-Capel Model as a Field Theory: A Monte Carlo and Flow Model Study
Ejaaz Merali, Ryan Larson, Ehsan Khatami +1
We report Monte Carlo simulations of a continuous spin variant of the Blume-Capel model. We compute the phase diagrams in the crystal-field-temperature plane, as a function of the…
Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo
Ejaaz Merali, Mohamed Hibat-Allah, Mohammad Kohandel +2
Neural-network quantum states have emerged as a powerful variational framework for quantum many-body systems, with recent progress often driven by massively parallel architectures…
RydbergGPT
David Fitzek, Yi Hong Teoh, Hin Pok Fung +5
We introduce a generative pretained transformer (GPT) designed to learn the measurement outcomes of a neutral atom array quantum computer. Based on a vanilla transformer, our encod…
Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice
Mohamed Hibat-Allah, Ejaaz Merali, Giacomo Torlai +2
Rydberg atom array experiments have demonstrated the ability to act as powerful quantum simulators, preparing strongly-correlated phases of matter which are challenging to study fo…
Unsupervised Learning of Rydberg Atom Array Phase Diagram with Siamese Neural Networks
Zakaria Patel, Ejaaz Merali, Sebastian J. Wetzel
We introduce an unsupervised machine learning method based on Siamese Neural Networks (SNN) to detect phase boundaries. This method is applied to Monte-Carlo simulations of Ising-t…
Data-Enhanced Variational Monte Carlo Simulations for Rydberg Atom Arrays
Stefanie Czischek, M. Schuyler Moss, Matthew Radzihovsky +2
Rydberg atom arrays are programmable quantum simulators capable of preparing interacting qubit systems in a variety of quantum states. Due to long experimental preparation times, o…