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913-924 of 998

qalcore

Core Library of the Quantum Application Lab

  • python
  • Quantum Computing
  • Jupyter Notebook
  • Python
  • Shell
2
0
Logo for qc2

qc2

Quantum Computing for Quantum Chemistry

  • quantum chemistry
  • Quantum Computing
  • Jupyter Notebook
  • Python
  • Shell
2
0

QMCBlip

QMCBlip allows to couple Quantum Monte Carlo Simulations with Machine Learning Force Fields to accelerate Molecular Dynamics simulations

  • Python
3
0
Logo for QMCTorch

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
2
0

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
3
0

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
3
0

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
2
0

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
1
0

QUICKLB

QUICKLB is a very efficient library that sacrifices optimality for speed. It shines in distributed applications that have unpredictable unbalanced computational peaks in their domains.

  • Computational Fluid Dynamics (CFD)
  • Fortran
  • High performance computing
  • + 2
  • Fortran
  • Python
  • CMake
2
0

Radiam

Radiam helps researchers keep track of their data, regardless of where it is stored. There are multiple components working together, and most of them run within Docker containers.

  • metadata
  • RDM
  • Python
  • JavaScript
  • HTML
  • + 3
1
0

rcoins

Identify continuous lines in a spatial network.

  • geospatial
  • Networks
  • R
  • R
  • Python
4
0

rcrisp Shiny app

Shiny web app for the rcrisp software package.

  • geospatial
  • R
  • shiny
  • + 1
  • R
2
0