QUANT-PHAIETAug 21, 2023

Hybrid classical-quantum computing: are we forgetting the classical part in the binomial?

arXiv:2308.10513v16 citationsh-index: 30
Originality Synthesis-oriented
AI Analysis

This work is incremental, focusing on taxonomy and problem identification rather than solving specific computational issues.

The paper addresses the challenges in hybrid classical-quantum computing by proposing a preliminary taxonomy for classifying hybrid schemes and highlighting key questions to stimulate research on real-world applications.

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.

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