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License

MIT License

Copyright (c) 2025 Krishna Bajpai

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Third-Party Licenses

This project uses several open-source libraries. Below are their respective licenses:

Qiskit

Apache License 2.0
Copyright IBM Corporation

PennyLane

Apache License 2.0
Copyright Xanadu Quantum Technologies Inc.

NumPy

BSD 3-Clause License
Copyright (c) 2005-2024, NumPy Developers

SciPy

BSD 3-Clause License
Copyright (c) 2001-2024 SciPy Developers

scikit-learn

BSD 3-Clause License
Copyright (c) 2007-2024 The scikit-learn developers

Matplotlib

Matplotlib License (BSD-style)
Copyright (c) 2002-2024 John D. Hunter, Matplotlib Development Team

Pandas

BSD 3-Clause License
Copyright (c) 2008-2024, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team

Click

BSD 3-Clause License
Copyright 2014 Pallets

PyYAML

MIT License
Copyright (c) 2017-2024 Ingy döt Net, Copyright (c) 2006-2016 Kirill Simonov

tqdm

MIT License
Copyright (c) 2013 noamraph

Jupyter

BSD 3-Clause License
Copyright (c) Jupyter Development Team

Plotly

MIT License
Copyright (c) 2016-2024 Plotly, Inc

Seaborn

BSD 3-Clause License
Copyright (c) 2012-2024, Michael Waskom

Attribution

This software includes concepts and methodologies from various research papers and open-source projects in the quantum computing and machine learning communities. We acknowledge the contributions of researchers and developers who have made this work possible.

Key Research References

  • Quantum embeddings for machine learning (Schuld & Killoran, 2019)
  • Expressibility and entangling capability of parameterized quantum circuits (Sim et al., 2019)
  • Barren plateaus in quantum neural network training landscapes (McClean et al., 2018)
  • Quantum advantage in training binary neural networks (Liu et al., 2021)

For a complete list of references, please see our documentation.

Commercial Use

This software is free for commercial use under the MIT License. However, users should be aware that:

  1. Quantum computing hardware access may require separate licensing or service agreements with quantum cloud providers
  2. Some advanced features may depend on proprietary quantum software stacks
  3. Users are responsible for ensuring compliance with export control regulations when using quantum technologies

Contact

For licensing questions or commercial inquiries, please contact:

Krishna Bajpai
Email: bajpaikrishna715@gmail.com
GitHub: @krish567366

Project Repository: https://github.com/krish567366/quantum-data-embedding-suite