122 citations · 330 across the 19 of their papers we have counts for
3 papers · 1 filter
Retrieving Quantum Information with Active Learning
Yongcheng Ding, José D. Martín-Guerrero, Mikel Sanz +3
Active learning is a machine learning method aiming at optimal design for model training. At variance with supervised learning, which labels all samples, active learning provides a…
Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design
Yongcheng Ding, Xi Chen, Lucas Lamata +2
The logistic network design is an abstract optimization problem that, under the assumption of minimal cost, seeks the optimal configuration of the supply chain's infrastructures an…
Towards Prediction of Financial Crashes with a D-Wave Quantum Computer
Yongcheng Ding, Javier Gonzalez-Conde, Lucas Lamata +7
Prediction of financial crashes in a complex financial network is known to be an NP-hard problem, which means that no known algorithm can guarantee to find optimal solutions effici…