QubitFlow is an open-source quantum computing framework based on python designed to be intuitive, scalable, and modular — bringing the simplicity of TensorFlow and PyTorch to the quantum world.
🚧 Currently Under Active Development
We are laying the foundations for a robust, user-friendly quantum programming interface. The initial push will be live soon!
QubitFlow aims to simplify quantum circuit design, simulation, and integration with classical machine learning workflows. Our mission is to:
- Make quantum programming accessible to developers and researchers
- Provide a modular architecture for rapid experimentation
- Support both quantum simulation and real quantum hardware backends
- Enable hybrid quantum-classical models in a seamless fashion
- Quantum Circuit API (Tensor-like syntax)
- Backend support for simulators and real quantum processors (Qiskit, Braket, etc.)
- Parameterized gates and optimization routines
- Integration with NumPy, PyTorch, and JAX
- Quantum datasets and benchmarking tools
- Visualization of quantum states and circuits
Coming soon: pip install qubitflow
- Project Initialization
- Core Quantum Circuit API
- Backend Plugin System
- Hybrid Model Examples
- Documentation and Tutorials
- First Release (v0.1.0)
Interested in contributing? We'd love to collaborate! Stay tuned for contributing guidelines once the repo is live.
Watch the repository for the first release, documentation, and usage examples.
QubitFlow – Building the bridge between classical and quantum intelligence.