quantum6g 1.0.0

This library is an automatic artificial intelligence library that combines Quantum and 6G technologies.

# Quantum6G: Auto AI Advanced Quantum Neural Networks with 6G Technology Quantum6G is an automatic artificial intelligence library that combines quantum computing and 6G technologies to build advanced quantum neural networks. It provides a high-level interface for constructing, training, and evaluating quantum neural networks. This library was developed by [Emirhan BULUT](https://linkedin.com/in/aiemir).

## Installation To install the Quantum6G library, simply run the following command:

` pip install quantum6g `

## Getting Started Here is a simple example to get started with the Quantum6G library:

` import quantum6g `

## Create a quantum neural network

` model = quantum6g.Quantum6G(num_qubits=2)) `

## Train the model ` model.fit(X, Y, weights, steps=100, learning_rate=0.1) `

## Evaluate the model ` accuracy = model.evaluate(weights, X) print("Accuracy: {:.2f}%".format(accuracy * 100)) `

## Documentation For more information on how to use the Quantum6G library, please refer to the documentation available at [the soon].

## Contributing We welcome contributions to the Quantum6G library. If you would like to contribute, please fork the repository and make your changes, then submit a pull request.

## License The Quantum6G library is open source and released under the MIT license. For more information, please see the [LICENSE](https://choosealicense.com/licenses/mit/) file.