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
85,081 visible repositories in the index
1–10 of 10 · Most stars
A hardware-agnostic SDK for optimization problems: define a problem once, then lower it to any quantum or classical solver
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
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 🙌
Python package for compiling and analyzing quantum algorithms to simulate electronic structures.
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.
A Python library for quantum programming using Quil.
Modern C++ quantum computing library
Quantum Computer Library for Everyone
Qurry (was) a prototype for a functional quantum programming language. It incorporated many aspects of functional programming (Haskell, Clojure), but also took standard design philosophies from C++, Python, and other "traditional" languages. [category: quantum]