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oai:riuma.uma.es:10630/381232026-02-03T11:30:08Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Chicano-García, José-Francisco author Luque-Polo, Gabriel Jesús author Dahi, Zakaria Abdelmoiz author Gil-Merino, Rodrigo author 2025-01 Quantum computers leverage the principles of quantum mechanics to do computation with a potential advantage over classical computers. While a single classical computer transforms one particular binary input into an output after applying one operator to the input, a quantum computer can apply the operator to a superposition of binary strings to provide a superposition of binary outputs, doing computation apparently in parallel. This feature allows quantum computers to speed up the computation compared to classical algorithms. Unsurprisingly, quantum algorithms have been proposed to solve optimization problems in quantum computers. Furthermore, a family of quantum machines called quantum annealers are specially designed to solve optimization problems. In this paper, we provide an introduction to quantum optimization from a practical point of view. We introduce the reader to the use of quantum annealers and quantum gate-based machines to solve optimization problems. This tutorial is a preprint submitted to Engineering Optimization in July 2024. The accepted version can be found at https://doi.org/10.1080/0305215X.2024.2435538 https://hdl.handle.net/10630/38123 10.1080/0305215X.2024.2435538 Computación cuántica Proceso de datos Combinatorial Optimization with Quantum Computers.