Yongcheng Ding

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Direct Policy Search

Active Learning

Selective Sampling

Top Venues

Mach. Learn. Sci. Technol.

SN Comput. Sci.

Publications

Yongcheng Ding, José D. Martín-Guerrero, Yolanda Vives-Gilabert, Xi Chen
Active Learning in Physics: From 101, to Progress, and Perspective. CoRR (2023)
Yongcheng Ding, Javier Gonzalez-Conde, Lucas Lamata, José D. Martín-Guerrero, Enrique Lizaso, Samuel Mugel, Xi Chen, Román Orús, Enrique Solano, Mikel Sanz
Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer. Entropy 25 (2) (2023)
Yongcheng Ding, Xi Chen, José Rafael Magdalena Benedito, José D. Martín-Guerrero
Closed-loop control of a noisy qubit with reinforcement learning. Mach. Learn. Sci. Technol. 4 (2) (2023)
Yongcheng Ding, Yue Ban, Xi Chen
Towards Quantum Control with Advanced Quantum Computing: A Perspective. Entropy 24 (12) (2022)
Yongcheng Ding, Xi Chen, Lucas Lamata, Enrique Solano, Mikel Sanz
Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design. SN Comput. Sci. 2 (1) (2021)
Yongcheng Ding, Xi Chen, Rafael Magdalena-Benedicto, José D. Martín-Guerrero
Quantum Stream Learning. CoRR (2021)
Yongcheng Ding, José D. Martín-Guerrero, Yujing Song, José Rafael Magdalena Benedito, Xi Chen
Active Learning for the Optimal Design of Multinomial Classification in Physics. CoRR (2021)
Yapeng Wang, Yongcheng Ding, Jianan Wang, Xi Chen
Digital Quantum Simulation of Nonadiabatic Geometric Gates via Shortcuts to Adiabaticity. Entropy 22 (10) (2020)
Yongcheng Ding, Lucas Lamata, Mikel Sanz, Xi Chen, Enrique Solano
Experimental Implementation of a Quantum Autoencoder via Quantum Adders. CoRR (2018)