Nicolas Renaud
QMCBlip
QMCBlip allows to couple Quantum Monte Carlo Simulations with Machine Learning Force Fields to accelerate Molecular Dynamics simulations
- Python
Davidson diagonalization in Fortran
This package contains a Modern Fortran implementation of the Davidson diagonalization algorithms to compute several eigenvalue-eigenvector pairs of a symmetric matrix
- High performance computing
- Fortran
- CMake
- Python
vqls-prototype
Variational Quantum Linear Solver Library.
- Numerical analysis
- Quantum Computing
- Python
Eigencuda
Offload Eigen matrix-matrix multiplications to an Nvidia GPU
- GPU
- High performance computing
- C++
- CMake
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
qalcore
Core Library of the Quantum Application Lab
- python
- Quantum Computing
- Jupyter Notebook
- 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
Ceiba
Ceiba and its command-line interface Ceiba-cli solve the problem of computing, storing, and securely sharing computationally expensive simulation results.
- Optimized data handling
- Python
- TeX
- Shell
- + 1