Publication date
May 2021
DOIAbstract
Code used to produce the results in "Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data". https://arxiv.org/abs/2011.0347
Code used to produce the results in "Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data". https://arxiv.org/abs/2011.0347
This data supports "Large-scale quantum machine learning" by Tobias Haug, Chris N. Self, M. S. Kim (...
This release includes a minimal set of quantum Monte Carlo data in the repository in order to make g...
This repository contains two labs which put into practice Quantum Machine Learning techniques.If you...
Initial release of the QDataSet.If you use this software, please cite it as below
Initial release of data and code for paper "Quantum Embeddings of Classical Data for Quantum Machine...
This is supplemental data and code for: D. Hothem et al., Learning a quantum computer's capability u...
Code for our experiments in "Quantum Kernel Alignment with Stochastic Gradient Descent"
Snapshots used to train the models examined in the main text and supplementary material of "Correlat...
QML is a Python2/3-compatible toolkit for representation learning of properties of molecules and sol...
A visual editor for quantum algorithms. The source code repository can be found here: https://githu...
Physical principles underlying machine learning analysis of quantum gas microscopy data are not well...
There are three different Quantum Monte Carlo (QMC) codes in the Targeting REal chemical accuracy at...
Data curated by the QCArchive team, originally sourced from quantum-machine.org. For more informatio...
Monetary Authority of Singapore (MAS) Financial Sector Technology and Innovation schel
This repository provides the source code for some analytical and numerical implementations of the Ph...
This data supports "Large-scale quantum machine learning" by Tobias Haug, Chris N. Self, M. S. Kim (...
This release includes a minimal set of quantum Monte Carlo data in the repository in order to make g...
This repository contains two labs which put into practice Quantum Machine Learning techniques.If you...
Initial release of the QDataSet.If you use this software, please cite it as below
Initial release of data and code for paper "Quantum Embeddings of Classical Data for Quantum Machine...
This is supplemental data and code for: D. Hothem et al., Learning a quantum computer's capability u...
Code for our experiments in "Quantum Kernel Alignment with Stochastic Gradient Descent"
Snapshots used to train the models examined in the main text and supplementary material of "Correlat...
QML is a Python2/3-compatible toolkit for representation learning of properties of molecules and sol...
A visual editor for quantum algorithms. The source code repository can be found here: https://githu...
Physical principles underlying machine learning analysis of quantum gas microscopy data are not well...
There are three different Quantum Monte Carlo (QMC) codes in the Targeting REal chemical accuracy at...
Data curated by the QCArchive team, originally sourced from quantum-machine.org. For more informatio...
Monetary Authority of Singapore (MAS) Financial Sector Technology and Innovation schel
This repository provides the source code for some analytical and numerical implementations of the Ph...
This data supports "Large-scale quantum machine learning" by Tobias Haug, Chris N. Self, M. S. Kim (...
This release includes a minimal set of quantum Monte Carlo data in the repository in order to make g...
This repository contains two labs which put into practice Quantum Machine Learning techniques.If you...
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