A hardware-agnostic SDK for optimization problems: define a problem once, then lower it to any quantum or classical solver
- constraint-programming
- quantum-computing
- quadratic-programming
87,075 visible repositories in the index
1–4 of 4 · Most stars
A hardware-agnostic SDK for optimization problems: define a problem once, then lower it to any quantum or classical solver
An open-source Python framework for hybrid quantum-classical machine learning.
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.