22 citations · 29 across the 2 of their papers we have counts for
4 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…
Quantum Advantage in Cryptography with a Low-Connectivity Quantum Annealer
Feng Hu, Lucas Lamata, Chao Wang +3
The application in cryptography of quantum algorithms for prime factorization fostered the interest in quantum computing. However, quantum computers, and particularly quantum annea…
Towards Pricing Financial Derivatives with an IBM Quantum Computer
Ana Martin, Bruno Candelas, Ángel Rodríguez-Rozas +6
Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce the time-evolution of interest rates. Several stochastic d…