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Updates to documentation and license (#52)
* [LICENSE] Update street address - resolves #49 * [DOC] Update description of the package in the README and pyproject - resolves #46
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LICENSE

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PASQAL OPEN-SOURCE SOFTWARE LICENSE AGREEMENT (MIT-derived)
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The author of the License is:
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Pasqal, a Société par Actions Simplifiée (Simplified Joint Stock Company) registered under number 849 441 522 at the Registre du commerce et des sociétés (Trade and Companies Register) of Evry – France, headquartered at 7 rue Leonard de Vinci – 91300 – Massy – France, duly represented by its Président, M. Georges-Olivier REYMOND,
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Hereafter referred to as « the Licensor »
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Pasqal, a Société par Actions Simplifiée (Simplified Joint Stock Company) registered under number 849 441 522 at the Registre du commerce et des sociétés (Trade and Companies Register) of Evry – France, headquartered at 24 rue Émile Baudot – 91120 – Palaiseau – France, duly represented by its Président, M. Georges-Olivier REYMOND, Hereafter referred to as « the Licensor »
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- Permission is hereby granted, free of charge, to any person obtaining a copy of this software (the “Licensee”) 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:
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. The Software is “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 non-infringement. 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.

README.md

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# Quantum Evolution Kernel
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A Python library that implements Quantum Evolution Kernel, a method for measuring the
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similarity between graph-structured data, based on the time-evolution of a quantum system.
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It includes an example application in machine learning classification on a bio-chemical dataset.
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For more details about the approach, see https://journals.aps.org/pra/abstract/10.1103/PhysRevA.107.042615
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The Quantum Evolution Kernel is a Python library designed for the machine learning community to help users design quantum-driven similarity metrics for graphs and to use them inside kernel-based machine learning algorithms for graph data.
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The core of the library is focused on the development of a classification algorithm for molecular-graph dataset as it is presented in the published paper “[[Quantum feature maps for graph machine learning on a neutral atom quantum processor](https://journals.aps.org/pra/abstract/10.1103/PhysRevA.107.042615)](https://journals.aps.org/pra/abstract/10.1103/PhysRevA.107.042615)”.
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Users setting their first steps into quantum computing will learn how to implement the core algorithm in a few simple steps and run it using the Pasqal Neutral Atom QPU. More experienced users will find this library to provide the right environment to explore new ideas - both in terms of methodologies and data domain - while always interacting with a simple and intuitive QPU interface.
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## Installation
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pyproject.toml

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[project]
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name = "quantum-evolution-kernel"
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description = "A new quantum library."
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description = "A Python library designed for the machine learning community to help users design quantum-driven similarity metrics for graphs and to use them inside kernel-based machine learning algorithms for graph data.ide the right environment to explore new ideas - both in terms of methodologies and data domain - while always interacting with a simple and intuitive QPU interface."
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readme = "README.md"
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version = "0.1.2"
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requires-python = ">=3.10,<3.13"

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