20 Jul Formulation and implementation of a support vector machine on D-Wave’s quantum annealer
The main focus is the mathematical formulation and implementation of a support vector machine (SVM) algorithm in D-Wave’s quantum annealer. The first step was to formulate the problem as a quadratic unconstrained binary optimization (QUBO) problem. With some adaptations, physical limitations of the quantum computer were overcome. Finally, I coded the algorithm and executed it in the quantum annealer, along with a local simulated annealing version, and its classification performance was compared against that of the classical algorithm. Through the proposal of a QUBO formulation of an SVM algorithm, it has been proven that it is possible to solve it in a quantum annealer and when executed with two datasets, excellent classifications were obtained, while not evidencing any quantum advantage.
Category: COMPUTING — Country: SPAIN — Year: 2021
Carla Caro Villanova
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