Experimental Implementation of a Quantum Autoencoder via Quantum Adders. - Yongcheng Ding; Lucas Lamata; Mikel Sanz; Xi Chen 059; Enrique Solano (CoRR, 2018)

Digital Quantum Simulation of Nonadiabatic Geometric Gates via Shortcuts to Adiabaticity. - Yapeng Wang; Yongcheng Ding; Jianan Wang; Xi Chen 059 (Entropy, 2020)

Active Learning for the Optimal Design of Multinomial Classification in Physics. - Yongcheng Ding; José D. Martín-Guerrero; Yujing Song; José Rafael Magdalena Benedicto; Xi Chen 059 (CoRR, 2021)

Quantum Stream Learning. - Yongcheng Ding; Xi Chen 059; Rafael Magdalena Benedicto; José D. Martín-Guerrero (CoRR, 2021)

Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design. - Yongcheng Ding; Xi Chen 059; Lucas Lamata; Enrique Solano; Mikel Sanz (SN Comput. Sci., 2021)

Towards Quantum Control with Advanced Quantum Computing: A Perspective. - Yongcheng Ding; Yue Ban; Xi Chen 059 (Entropy, 2022)

Active Learning in Physics: From 101, to Progress, and Perspective. - Yongcheng Ding; José D. Martín-Guerrero; Yolanda Vives-Gilabert; Xi Chen 059 (CoRR, 2023)

Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer. - Yongcheng Ding; Javier Gonzalez-Conde; Lucas Lamata; José D. Martín-Guerrero; Enrique Lizaso; Samuel Mugel; Xi Chen 059; Román Orús; Enrique Solano; Mikel Sanz (Entropy, 2023)

Closed-loop control of a noisy qubit with reinforcement learning. - Yongcheng Ding; Xi Chen 059; José Rafael Magdalena Benedicto; José D. Martín-Guerrero (Mach. Learn. Sci. Technol., 2023)