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
- (CMake)
- (Fortran)
- (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
- (Dockerfile)
- (Python)
- (Shell)
- + 1