1 code implementation • 30 May 2024 • Mohamed Hibat-Allah, Ejaaz Merali, Giacomo Torlai, Roger G Melko, Juan Carrasquilla
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 for conventional computer simulations.
no code implementations • 9 May 2022 • Zakaria Patel, Ejaaz Merali, Sebastian J. Wetzel
We introduce an unsupervised machine learning method based on Siamese Neural Networks (SNN) to detect phase boundaries.
no code implementations • 31 Mar 2020 • Isaac J. S. De Vlugt, Dmitri Iouchtchenko, Ejaaz Merali, Pierre-Nicholas Roy, Roger G. Melko
Nanomolecular assemblies of C 60 can be synthesized to enclose dipolar molecules.
Quantum Physics Disordered Systems and Neural Networks Chemical Physics
1 code implementation • 21 Dec 2018 • Matthew J. S. Beach, Isaac De Vlugt, Anna Golubeva, Patrick Huembeli, Bohdan Kulchytskyy, Xiuzhe Luo, Roger G. Melko, Ejaaz Merali, Giacomo Torlai
As we enter a new era of quantum technology, it is increasingly important to develop methods to aid in the accurate preparation of quantum states for a variety of materials, matter, and devices.
Quantum Physics Strongly Correlated Electrons
