89 citations · 219 across the 22 of their papers we have counts for
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No-Free-Lunch Theories for Tensor-Network Machine Learning Models
Jing-Chuan Wu, Qi Ye, Dong-Ling Deng +1
Tensor network machine learning models have shown remarkable versatility in tackling complex data-driven tasks, ranging from quantum many-body problems to classical pattern recogni…
Quantum delegated and federated learning via quantum homomorphic encryption
Weikang Li, Dong-Ling Deng
Quantum learning models hold the potential to bring computational advantages over the classical realm. As powerful quantum servers become available on the cloud, ensuring the prote…
Quantum continual learning on a programmable superconducting processor
Chuanyu Zhang, Zhide Lu, Liangtian Zhao +32
Quantum computers may outperform classical computers on machine learning tasks. In recent years, a variety of quantum algorithms promising unparalleled potential to enhance, speed…
Experimental demonstration of reconstructing quantum states with generative models
Xuegang Li, Wenjie Jiang, Ziyue Hua +9
Quantum state tomography, a process that reconstructs a quantum state from measurements on an ensemble of identically prepared copies, plays a crucial role in benchmarking quantum…
Improved Nonlocality Certification via Bouncing between Bell Operators and Inequalities
Weikang Li, Mengyao Hu, Ke Wang +25
Bell nonlocality is an intrinsic feature of quantum mechanics, which can be certified via the violation of Bell inequalities. It is therefore a fundamental question to certify Bell…
Probing many-body Bell correlation depth with superconducting qubits
Ke Wang, Weikang Li, Shibo Xu +32
Quantum nonlocality describes a stronger form of quantum correlation than that of entanglement. It refutes Einstein's belief of local realism and is among the most distinctive and…
Prethermal Time-Crystalline Corner Modes
Si Jiang, Dong Yuan, Wenjie Jiang +2
We demonstrate the existence of prethermal discrete time crystals whose sub-harmonic response is entirely localized to zero-dimensional corner modes. Within the exponentially long…
Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises
Zhihan Zhang, Weiyuan Gong, Weikang Li +1
We study quantum-classical separations between classical and quantum supervised learning models based on constant depth (i.e., shallow) circuits, in scenarios with and without nois…
Non-Abelian braiding of Fibonacci anyons with a superconducting processor
Shibo Xu, Zheng-Zhi Sun, Ke Wang +29
Non-Abelian topological orders offer an intriguing path towards fault-tolerant quantum computation, where information can be encoded and manipulated in a topologically protected ma…
Long-lived topological time-crystalline order on a quantum processor
Liang Xiang, Wenjie Jiang, Zehang Bao +38
Topologically ordered phases of matter elude Landau's symmetry-breaking theory, featuring a variety of intriguing properties such as long-range entanglement and intrinsic robustnes…