7 citations · 8 across the 10 of their papers we have counts for
10 papers
Joint Mitigation of Algorithmic and Physical Errors in Noisy Hamiltonian Simulation
Shuo Zhou, Xinzhao Wang, Ruiqi Zhang +4
Product-formula Hamiltonian simulation is naturally suited to near-term quantum processors, but its accuracy is set by two competing errors: finite-step Trotter bias and physical h…
Enhancing classical simulation with noisy quantum devices
Ruiqi Zhang, Fuchuan Wei, Zhaohui Wei
As quantum devices continue to improve in scale and precision, a central challenge is how to effectively utilize noisy hardware for meaningful computation. Most existing approaches…
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…
Scalable Quantum Error Mitigation with Neighbor-Informed Learning
Zhenyu Chen, Bin Cheng, Minbo Gao +4
Noise in quantum hardware is the primary obstacle to realizing the transformative potential of quantum computing. Quantum error mitigation (QEM) offers a promising pathway to enhan…
On computing and the complexity of computing higher-order -statistics, exactly
Xingyu Chen, Ruiqi Zhang, Lin Liu
Higher-order -statistics abound in fields such as statistics, machine learning, and computer science, but are known to be highly time-consuming to compute in practice. Despite t…
A note on the lower bounds of genuine multipartite entanglement concurrence
Ming Li, Yaru Dong, Ruiqi Zhang +4
Quantum entanglement plays a pivotal role in quantum information processing. Quantifying quantum entanglement is a challenging and essential research area within the field. This ma…
Clifford Perturbation Approximation for Quantum Error Mitigation
Ruiqi Zhang, Yuguo Shao, Fuchuan Wei +3
Quantum error mitigation (QEM) is critical for harnessing the potential of near-term quantum devices. Particularly, QEM protocols can be designed based on machine learning, where t…
Detecting unfaithful entanglement by multiple fidelities
Ruiqi Zhang, Zhaohui Wei
Certifying entanglement for unknown quantum states experimentally is a fundamental problem in quantum computing and quantum physics. Because of being easy to implement, a most popu…
Efficient Experimental Verification of Quantum Gates with Local Operations
Rui-Qi Zhang, Zhibo Hou, Jun-Feng Tang +5
Verifying the correct functioning of quantum gates is a crucial step towards reliable quantum information processing, but it becomes an overwhelming challenge as the system size gr…
Experimental Masking of Real Quantum States
Rui-Qi Zhang, Zhibo Hou, Zihao Li +4
Masking of quantum information is a way of hiding information in correlations such that no information is accessible to any local observer. Although the set of all quantum states a…