Quantum Application Lab
Quantum application development and use-case evaluation for organizations with computational challenges in optimization, simulation and machine learning. https://github.com/QuantumApplicationLab
hhl-prototype
The HHL prototype allows to use the HHL algorithm to solve linear system of equations
- Numerical analysis
- Quantum Computing
- Python
qc2
Quantum Computing for Quantum Chemistry
- quantum chemistry
- Quantum Computing
- Jupyter Notebook
- Python
- 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
vqls-prototype
Variational Quantum Linear Solver Library.
- Numerical analysis
- Quantum Computing
- Python
wntr-quantum
wntr-quantum (pronounced winter-quantum) extends the capabilities of the popular wntr package for water network modelling and analysis to quantum computing routine.
- Quantum Computing
- Water Distribution Networks
- Python
- Shell