10 citations · 10 across the 3 of their papers we have counts for
3 papers
quant-ph2024
VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models
Yanling Lin, Ji Guan, Wang Fang +2
Adversarial noise attacks present a significant threat to quantum machine learning (QML) models, similar to their classical counterparts. This is especially true in the current Noi…
quant-ph2024★ 10 cited
MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework
Xusheng Xu, Jiangyu Cui, Zidong Cui +36
We introduce MindSpore Quantum, a pioneering hybrid quantum-classical framework with a primary focus on the design and implementation of noisy intermediate-scale quantum (NISQ) alg…
quant-ph2024
Optimal local filtering operation for enhancing quantum entanglement
Zhaofeng Su, Nina Sukhodoeva
Quantum entanglement is an indispensable resource for many significant quantum information processing tasks. Thus, distilling more entanglement from less entangled resource is a ta…