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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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