123 citations · 500 across the 21 of their papers we have counts for
6 papers · 1 filter
Enhancing Quantum Adversarial Robustness by Randomized Encodings
Weiyuan Gong, Dong Yuan, Weikang Li +1
The interplay between quantum physics and machine learning gives rise to the emergent frontier of quantum machine learning, where advanced quantum learning models may outperform th…
Deep quantum neural networks equipped with backpropagation on a superconducting processor
Xiaoxuan Pan, Zhide Lu, Weiting Wang +10
Deep learning and quantum computing have achieved dramatic progresses in recent years. The interplay between these two fast-growing fields gives rise to a new research frontier of…
Digital simulation of non-Abelian anyons with 68 programmable superconducting qubits
Shibo Xu, Zheng-Zhi Sun, Ke Wang +31
Non-Abelian anyons are exotic quasiparticle excitations hosted by certain topological phases of matter. They break the fermion-boson dichotomy and obey non-Abelian braiding statist…
Quantum Neural Network Classifiers: A Tutorial
Weikang Li, Zhide Lu, Dong-Ling Deng
Machine learning has achieved dramatic success over the past decade, with applications ranging from face recognition to natural language processing. Meanwhile, rapid progress has b…
Experimental quantum adversarial learning with programmable superconducting qubits
Wenhui Ren, Weikang Li, Shibo Xu +21
Quantum computing promises to enhance machine learning and artificial intelligence. Different quantum algorithms have been proposed to improve a wide spectrum of machine learning t…
Quantum Capsule Networks
Zidu Liu, Pei-Xin Shen, Weikang Li +2
Capsule networks, which incorporate the paradigms of connectionism and symbolism, have brought fresh insights into artificial intelligence. The capsule, as the building block of ca…