A Quantum Approximate Optimization Algorithm for continuous problems
Published in arXiv (Cornell University) • Feb 1, 2019
NobleIDNI5P80W84R79S99
Authors:,,
Guillaume Verdon
Juan Miguel Arrazola
Kamil Brádler
Abstract
We introduce a quantum approximate optimization algorithm (QAOA) for continuous optimization. The algorithm is based on the dynamics of a quantum system moving in an energy potential which encodes the objective function. By approximating the dynamics at finite time steps, the algorithm can be expres...
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