research
∙
09/19/2023
Coreset selection can accelerate quantum machine learning models with provable generalization
Quantum neural networks (QNNs) and quantum kernels stand as prominent fi...
share
research
∙
09/05/2023
BeeTLe: A Framework for Linear B-Cell Epitope Prediction and Classification
The process of identifying and characterizing B-cell epitopes, which are...
research
∙
06/06/2023
Transition role of entangled data in quantum machine learning
Entanglement serves as the resource to empower quantum computing. Recent...
research
∙
05/10/2022
Theory of Quantum Generative Learning Models with Maximum Mean Discrepancy
The intrinsic probabilistic nature of quantum mechanics invokes endeavor...
research
∙
09/12/2021
Towards a variational Jordan-Lee-Preskill quantum algorithm
Rapid developments of quantum information technology show promising oppo...
research
∙
12/16/2020
Variational Quantum Algorithms
Applications such as simulating large quantum systems or solving large-s...
research
∙
08/06/2018
