Yongcheng Ding

According to our database, Yongcheng Ding authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Closed-loop control of a noisy qubit with reinforcement learning.

Yongcheng Ding, Xi Chen, José Rafael Magdalena Benedicto, José D. Martín-Guerrero

Mach. Learn. Sci. Technol., June, 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, Román Orús, Enrique Solano, Mikel Sanz

Entropy, February, 2023

Active Learning in Physics: From 101, to Progress, and Perspective.

Yongcheng Ding, José D. Martín-Guerrero, Yolanda Vives-Gilabert, Xi Chen

CoRR, 2023

2022

Towards Quantum Control with Advanced Quantum Computing: A Perspective.

Yongcheng Ding, Yue Ban, Xi Chen

Entropy, December, 2022

2021

Implementation of a Hybrid Classical-Quantum Annealing Algorithm for Logistic Network Design.

Yongcheng Ding, Xi Chen, Lucas Lamata, Enrique Solano, Mikel Sanz

SN Comput. Sci., 2021

Quantum Stream Learning.

Yongcheng Ding, Xi Chen, Rafael Magdalena Benedicto, José D. Martín-Guerrero

CoRR, 2021

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

CoRR, 2021

2020

Digital Quantum Simulation of Nonadiabatic Geometric Gates via Shortcuts to Adiabaticity.

Yapeng Wang, Yongcheng Ding, Jianan Wang, Xi Chen

Entropy, 2020

2018

Experimental Implementation of a Quantum Autoencoder via Quantum Adders.

Yongcheng Ding, Lucas Lamata, Mikel Sanz, Xi Chen, Enrique Solano

CoRR, 2018