Code for reproducing results and plots from our paper "Accelerating equilibrium spin-glass simulations using quantum annealers via generative deep learning" arXiv.2210.11288. It is completed by the datasets available at Zenodo 10.5281/zenodo.7250436
This repository contains code used to generate results in the manuscript 'Grid-based methods for che...
This is supplemental data and code for: D. Hothem et al., Learning a quantum computer's capability u...
This is the code for the paper 'Integration of Pre-trained Protein Language Models into Geometric De...
Code for reproducing results and plots from our paper "Accelerating equilibrium spin-glass simulatio...
Datasets and material for replicating plots and results from the paper "Accelerating equilibrium spi...
Release linked to Zenodo. Relevant features: Autoregressive neural networks (MADE, PixelCNN); Monte...
Source codes for "Searching for spin glass ground states through deep reinforcement learning", Accep...
This set of source codes perform some of the tasks described in the pre-print Samarakoon, A. M., D....
Efficient optimization of deep neural quantum states toward machine precision Paper: arXiv:2302.019...
Source codes for "Searching for spin glass ground states through deep reinforcement learning", Natur...
We present several efficient implementations of the simulated annealing algorithm for Ising spin gla...
The implementation of the xDeepH (extended Deep Hamiltonian) method described in the paper Deep-lear...
Data and python scripts for 'Probing resonating valence bonds on a programmable germanium quantum si...
Recently, W. Lechner, P. Hauke, and P. Zoller [Sci. Adv. 1, e1500838 (2015)] have proposed a quantum...
Spin glass is the simplest disordered system that preserves the full range of complex collective beh...
This repository contains code used to generate results in the manuscript 'Grid-based methods for che...
This is supplemental data and code for: D. Hothem et al., Learning a quantum computer's capability u...
This is the code for the paper 'Integration of Pre-trained Protein Language Models into Geometric De...
Code for reproducing results and plots from our paper "Accelerating equilibrium spin-glass simulatio...
Datasets and material for replicating plots and results from the paper "Accelerating equilibrium spi...
Release linked to Zenodo. Relevant features: Autoregressive neural networks (MADE, PixelCNN); Monte...
Source codes for "Searching for spin glass ground states through deep reinforcement learning", Accep...
This set of source codes perform some of the tasks described in the pre-print Samarakoon, A. M., D....
Efficient optimization of deep neural quantum states toward machine precision Paper: arXiv:2302.019...
Source codes for "Searching for spin glass ground states through deep reinforcement learning", Natur...
We present several efficient implementations of the simulated annealing algorithm for Ising spin gla...
The implementation of the xDeepH (extended Deep Hamiltonian) method described in the paper Deep-lear...
Data and python scripts for 'Probing resonating valence bonds on a programmable germanium quantum si...
Recently, W. Lechner, P. Hauke, and P. Zoller [Sci. Adv. 1, e1500838 (2015)] have proposed a quantum...
Spin glass is the simplest disordered system that preserves the full range of complex collective beh...
This repository contains code used to generate results in the manuscript 'Grid-based methods for che...
This is supplemental data and code for: D. Hothem et al., Learning a quantum computer's capability u...
This is the code for the paper 'Integration of Pre-trained Protein Language Models into Geometric De...
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