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The Quantum Distance-based classifier is a technique inspired by the classical k-Nearest Neighbors that leverage quantum properties to perform prediction. The package has been implemented in Qiskit
pip install quantum-distance-based-classifier
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quantum-distance-based-classifier publishes 0 wheels and 1 source archive for version 0.0.4. Wheel platform tags: No wheel platform tags.
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PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .