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This repository contains the material developed during the Applied Quantum Machine Learning course at Polimi. It deals with the presentation of Quantum k-means Clustering and the implementation of a solver for the Max2-Sat problem using Dwave library

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Megapiro/AQML_Project

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AQML Project

  • Matteo Sacco
  • Francesco Piro
  • Pierriccardo Olivieri

Max 2-Sat Problem

  • We implemented Max 2-Sat in the file Max2-Sat/Max2-Sat.ipynb.
  • test_script.py tests all problems in testing_sat/benchmarks (both on simulated and real quantum annealer) printing the results in testing_sat/results/q_solutions.txt
  • testing_sat/results/q_solutions.txt contains the bests solutions among all classical algorithms

Quantum Balanced k-means

  • Presentation folder contains the presentation for Quantum Balanced k-means.

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This repository contains the material developed during the Applied Quantum Machine Learning course at Polimi. It deals with the presentation of Quantum k-means Clustering and the implementation of a solver for the Max2-Sat problem using Dwave library

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