qubitflow 0.1.0

A modular and scalable quantum computing framework inspired by TensorFlow and PyTorch.

QubitFlow

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!

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🔍 About the Project

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

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📌 Planned Features

• 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

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📦 Installation

Coming soon: pip install qubitflow

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👷 Roadmap

• Project Initialization
• Core Quantum Circuit API
• Backend Plugin System
• Hybrid Model Examples
• Documentation and Tutorials
• First Release (v0.1.0)

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🤝 Contributing

Interested in contributing? We'd love to collaborate! Stay tuned for contributing guidelines once the repo is live.

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📬 Stay Updated

Watch the repository for the first release, documentation, and usage examples.

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QubitFlow – Building the bridge between classical and quantum intelligence.