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cs.IR2024
Performance-Driven QUBO for Recommender Systems on Quantum Annealers
Jiayang Niu, Jie Li, Ke Deng +3
Quantum annealers offer a promising hardware platform for solving combinatorial optimization problems, especially those formulated as Quadratic Unconstrained Binary Optimization (Q…
cs.IR2024★ 1 cited
CRUISE on Quantum Computing for Feature Selection in Recommender Systems
Jiayang Niu, Jie Li, Ke Deng +1
Using Quantum Computers to solve problems in Recommender Systems that classical computers cannot address is a worthwhile research topic. In this paper, we use Quantum Annealers to…