All software
pyTAMS
A physics-agnostic implementation of the Trajectory-Adataptive Multilevel Splitting (TAMS) algorithm for predicting transition probability in bi-stable dynamic problems.
- Rare event simulations
- Python
- Shell
python-pcl
Use the industry-standard Point Cloud Library from within Python.
- Big data
- High performance computing
- Python
- C++
- Makefile
- + 2
PyXenon
Python wrapper for the Xenon programming interface to various compute and storage resources.
- Python
- Shell
- Batchfile
pyZacros
A Python library to handle Kinetic Monte Carlo codes.
- Python
- Shell
qalcore
Core Library of the Quantum Application Lab
- python
- Quantum Computing
- Jupyter Notebook
- Python
- Shell
qc2
Quantum Computing for Quantum Chemistry
- quantum chemistry
- Quantum Computing
- Jupyter Notebook
- Python
- Shell
QMCBlip
QMCBlip allows to couple Quantum Monte Carlo Simulations with Machine Learning Force Fields to accelerate Molecular Dynamics simulations
- Python
QMCTorch
Use and design neural network ansatz wave function for real-space quantum Monte Carlo simulations of molecular systems.
- Computational Chemistry
- GPU
- High performance computing
- + 2
- Python
- TeX
quafing
Questionnaire analysis using Fisher Information Non-Parametric Embedding. Explore high-dimensional continuous and discrete questionnaire data sets.
- Data Analysis
- python
- Statistics
- Python
- Jupyter Notebook
- Shell
Quantum Newton Raphson
The Quantum Newton Raphson package allows to leverage quantum computing routines to accelerate the Newton-Raphson algorithm.
- Numerical analysis
- Quantum Computing
- Python
- Shell
qubols
qubols allows to solve linear system using a QUBO approach that can be deployed on quantum annealers
- Numerical analysis
- Quantum Computing
- Jupyter Notebook
- Python
- Shell
qubops
qubops allows to solve polynomial system of equations using a QUBO approach that can be deployed on quantum annealers
- Numerical analysis
- Quantum Computing
- Jupyter Notebook
- Python
- Shell