Academic and industrial sectors have been engaged in a fierce competition to develop quantum technologies, fueled by the explosive advancements in quantum hardware. While universal quantum computers have been shown to support up to hundreds of qubits, the scale of quantum annealers has reached three orders of magnitude (i.e., thousands of qubits). Therefore, quantum algorithms are becoming increasingly popular in a variety of fields, with optimization being one of the most prominent. This work aims to explore the topic of quantum optimization by comprehensively evaluating the technologies provided by D-Wave Systems. To do so, a model for the energy optimization of data centers is proposed as a benchmark. D-Wave quantum and hybrid solvers are compared, in order to identify the most suitable one for the considered application. To highlight its advantageous performance capabilities and associated solving potential, the selected D-Wave hybrid solver is then contrasted with CPLEX, a highly efficient classical solver.

翻译：学术与工业界围绕量子技术的开发展开了激烈竞争，这得益于量子硬件的爆炸性发展。尽管通用量子计算机已能支持数百个量子比特的规模，但量子退火器的规模已达三个数量级（即数千量子比特）。因此，量子算法在多个领域日益普及，其中优化问题是最突出的应用之一。本研究旨在通过全面评估D-Wave Systems提供的技术来探索量子优化主题。为此，我们以数据中心能耗优化模型作为基准测试。通过比较D-Wave量子求解器与混合求解器，确定最适合该应用的方案。为凸显其优越性能与求解潜力，最后将选定的D-Wave混合求解器与高效经典求解器CPLEX进行对比分析。