89 citations · 219 across the 22 of their papers we have counts for
25 papers
A modular quantum computer based on Cornucopia codes
Zhide Lu, Weikang Li, Yinghao Ma +5
Ultra-high-rate quantum error correction codes store many logical qubits in a single code block with few physical qubits. A fault-tolerant quantum computer, however, also requires…
Proving olympiad geometry theorems on a superconducting quantum processor
Ning Wang, Zheng-Zhi Sun, Zhengyi Cui +32
Automated theorem proving seeks to use computational systems to prove or disprove mathematical and logical statements [1, 2]. It underpins a wide range of applications, and enhanci…
Quantum error correction at ultra-low overhead
Zhide Lu, Weikang Li, Dong-Ling Deng
Suppressing errors is the central challenge for useful large-scale quantum computing. While quantum error correction promises a viable solution to this challenge, existing codes ty…
Cluster-State Witnesses of Finite-Speed Hidden Influences
Weikang Li, Mengyao Hu, Dong-Ling Deng +1
Bell experiments rule out local common-cause explanations of quantum correlations, yet they do not exclude hidden influences that travel faster than light while still having a fini…
Machine learning the arrow of time in solid-state spins
Xiang-Qian Meng, Zhide Lu, Ya-Nan Lu +9
Understanding the emergence of the thermodynamic arrow of time in microscopic systems is of fundamental importance, particularly given that unitary evolution preserves time-reversa…
Quantum automated theorem proving
Zheng-Zhi Sun, Qi Ye, Dong-Ling Deng
Automated theorem proving, or more broadly automated reasoning, aims at using computer programs to automatically prove or disprove mathematical theorems and logical statements. It…
A Unified Frequency Principle for Quantum and Classical Machine Learning
Rundi Lu, Ruiqi Zhang, Weikang Li +3
Quantum neural networks constitute a key class of near-term quantum learning models, yet their training dynamics remain not fully understood. Here, we present a unified theoretical…
Exponential Advantage from One More Replica in Estimating Nonlinear Properties of Quantum States
Qi Ye, Zhenhuan Liu, Dong-Ling Deng
Inferring nonlinear features of quantum states is fundamentally important across quantum information science, but remains challenging due to the intrinsic linearity of quantum mech…
Solving excited states for long-range interacting trapped ions with neural networks
Yixuan Ma, Chang Liu, Weikang Li +4
The computation of excited states in strongly interacting quantum many-body systems is of fundamental importance. Yet, it is notoriously challenging due to the exponential scaling…
Demonstration of low-overhead quantum error correction codes
Ke Wang, Zhide Lu, Chuanyu Zhang +39
Quantum computers hold the potential to surpass classical computers in solving complex computational problems. However, the fragility of quantum information and the error-prone nat…
Experimental Implementation of a Qubit-Efficient Variational Quantum Eigensolver with Analog Error Mitigation on a Superconducting Quantum Processor
Yuwei Ma, Weiting Wang, Xianghao Mu +8
We experimentally demonstrate a qubit-efficient variational quantum eigensolver (VQE) algorithm using a superconducting quantum processor, employing minimal quantum resources with…
Quantum automated learning with provable and explainable trainability
Qi Ye, Shuangyue Geng, Zizhao Han +3
Machine learning is widely believed to be one of the most promising practical applications of quantum computing. Existing quantum machine learning schemes typically employ a quantu…
Observation of topological prethermal strong zero modes
Feitong Jin, Si Jiang, Xuhao Zhu +42
Symmetry-protected topological phases cannot be described by any local order parameter and are beyond the conventional symmetry-breaking paradigm for understanding quantum matter.…
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…
Expressibility-induced Concentration of Quantum Neural Tangent Kernels
Li-Wei Yu, Weikang Li, Qi Ye +3
Quantum tangent kernel methods provide an efficient approach to analyzing the performance of quantum machine learning models in the infinite-width limit, which is of crucial import…