AI RESEARCH
Performance-Driven QUBO for Recommender Systems on Quantum Annealers
arXiv CS.AI
•
ArXi:2410.15272v3 Announce Type: replace-cross Quantum annealers offer a promising hardware platform for solving combinatorial optimization problems, especially those formulated as Quadratic Unconstrained Binary Optimization (QUBO). In this work, we propose PDQUBO (Performance-Driven Quadratic Unconstrained Binary Optimization), a QUBO-based feature selection method that is directly executable on quantum annealers.