Estimated distances for classification in K-Means clustering using qubits and implemented on a quantum simulator and real quantum computer
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Updated
Dec 18, 2022 - Jupyter Notebook
Estimated distances for classification in K-Means clustering using qubits and implemented on a quantum simulator and real quantum computer
Representing 3D vectors (quaternions) and 7D vectors (octonions) with Dirac matrices for easy computation of dot and cross products.
Demonstrative Jupyter Notebook for evaluating inner products (braket) between two quantum states using Quantum Hardware (IBM Qiskit).
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