Feature Selection for Recommender Systems with Quantum Computing.

ABSTRACT: The promise of quantum computing to open new unexplored possibilities in several scientific fields has been long discussed, but until recently the lack of a functional quantum computer has confined this discussion mostly to theoretical algorithmic papers. It was only in the last few years that small but functional quantum computers have become available to the broader research community. One paradigm in particular, quantum annealing, can be used to sample optimal solutions for a number of NP-hard optimization problems represented with classical operations research tools, providing an easy access to the potential of this emerging technology. One of the tasks that most naturally fits in this mathematical formulation is feature selection. In this paper, we investigate how to design a hybrid f

SUBMITTER: Nembrini R 

PROVIDER: S-EPMC8391326 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature