Automatic evolutionary design of quantum rule-based systems and applications to quantum reinforcement learning
Manuel P. Cuéllar,
M. C. Pegalajar,
C. Cano
Abstract:Explainable artificial intelligence is a research topic whose relevance has increased in recent years, especially with the advent of large machine learning models. However, very few attempts have been proposed to improve interpretability in the case of quantum artificial intelligence, and many existing quantum machine learning models in the literature can be considered almost as black boxes. In this article, we argue that an appropriate semantic interpretation of a given quantum circuit that solves a problem c… Show more
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