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This repository contains the code for the research paper "Quantum Eigenfaces: Linear Feature Mapping and Nearest Neighbor Classification with Outlier Detection"

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WilliamBonvini/quantum-eigenfaces

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Quantum Eigenfaces

Implementation of the research paper Quantum Eigenfaces: Linear Feature Mapping and Nearest Neighbor Classification with Outlier Detection.

Quick Setup

  1. Install Poetry: Ensure Poetry is installed for Python dependency management.
  2. Clone the Repo: Clone this repository to your local machine.
  3. Create a Jupyter Kernel: In the repository's root directory, run make kernel in the terminal to set up the "quantum-eigenfaces" Jupyter kernel.
  4. Start Jupyter: Launch Jupyter Notebook with jupyter notebook.
  5. Access Notebooks: Navigate to the "notebook" folder in Jupyter and open the desired notebook.
  6. Activate the Kernel: In the notebook, go to 'Kernel' > 'Change kernel', and select "quantum-eigenfaces".

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This repository contains the code for the research paper "Quantum Eigenfaces: Linear Feature Mapping and Nearest Neighbor Classification with Outlier Detection"

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