Project HQGA

A Hybrid Quantum Genetic Algorithm

by Giovanni Acampora and Autilia Vitiello

HQGA is a new evolutionary algorithm implemented with the support of a real quantum processor, a computing device which uses phenomena from quantum mechanics to enable a considerable speed-up in computation. In particular, the proposed approach uses quantum superposition and entanglement to implement quantum evolutionary concepts such as quantum chromosome, entangled crossover, rotation mutation, and quantum elitism, to efficiently perform genetic evolution on quantum devices, and converge towards proper sub-optimal solutions of a given optimization problem. The proposed quantum genetic algorithm has been implemented by using a hybrid approach, where classical processors interact with the family of quantum processors provided by the IBM Quantum Experience project. Click on the button "launch binder" to run HQGA.

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Published in the journal Elsevier Information Sciences