The expectations arising from the latest achievements in the quantum computing field are causing that researchers coming from classical artificial intelligence to be fascinated by this new paradigm. In turn, quantum computing, on the road towards usability, needs classical procedures. Hybridization is, in these circumstances, an indispensable step but can also be seen as a promising new avenue to get the most from both computational worlds. Nonetheless, hybrid approaches have now and will have in the future many challenges to face, which, if ignored, will threaten the viability or attractiveness of quantum computing for real-world applications. To identify them and pose pertinent questions, a proper characterization of the hybrid quantum computing field, and especially hybrid solvers, is compulsory. With this motivation in mind, the main purpose of this work is to propose a preliminary taxonomy for classifying hybrid schemes, and bring to the fore some questions to stir up researchers minds about the real challenges regarding the application of quantum computing.

翻译：量子计算领域最新成就引发的期待，正使来自经典人工智能领域的研究者为这一新范式所着迷。与此同时，量子计算在迈向实用化的道路上仍需借助经典程序。在此背景下，混合化不仅是一个不可或缺的步骤，更可被视为从两个计算世界获取最大效益的新兴途径。然而，混合方法目前及未来都将面临诸多挑战，若忽视这些挑战，将威胁量子计算在实际应用中的可行性或吸引力。为识别这些挑战并提出关键问题，必须对混合量子计算领域（尤其是混合求解器）进行恰当的特征刻画。基于此动机，本研究的主要目标是提出用于分类混合方案的初步分类法，并揭示一些亟待思考的问题，以激发研究者对量子计算应用真实挑战的关注。