407 citations · 3.9k across the 91 of their papers we have counts for
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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…
Extracting Quantum Many-Body Scarred Eigenstates with Matrix Product States
Shun-Yao Zhang, Dong Yuan, Thomas Iadecola +2
Quantum many-body scarred systems host nonthermal excited eigenstates immersed in a sea of thermal ones. In cases where exact expressions for these special eigenstates are not know…
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…
Experimental Quantum End-to-End Learning on a Superconducting Processor
Xiaoxuan Pan, Xi Cao, Weiting Wang +10
Machine learning can be substantially powered by a quantum computer owing to its huge Hilbert space and inherent quantum parallelism. In the pursuit of quantum advantages for machi…
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…
Quantum Information Scrambling in Quantum Many-body Scarred Systems
Dong Yuan, Shun-Yao Zhang, Yu Wang +2
Quantum many-body scarred systems host special non-thermal eigenstates that support periodic revival dynamics and weakly break the ergodicity. Here, we study the quantum informatio…