17 citations · 72 across the 17 of their papers we have counts for
17 papers
AI-Powered Algorithm-Centric Quantum Processor Topology Design
Tian Li, Xiao-Yue Xu, Chen Ding +4
Quantum computing promises to revolutionize various fields, yet the execution of quantum programs necessitates an effective compilation process. This involves strategically mapping…
JuliVQC: an Efficient Variational Quantum Circuit Simulator for Near-Term Quantum Algorithms
Wei-You Liao, Xiang Wang, Xiao-Yue Xu +4
We introduce JuliVQC: a light-weight, yet extremely efficient variational quantum circuit simulator. JuliVQC is part of an effort for classical simulation of the \textit{Zuchongzhi…
Quantum Advantage: A Single Qubit's Experimental Edge in Classical Data Storage
Chen Ding, Edwin Peter Lobo, Mir Alimuddin +5
We implement an experiment on a photonic quantum processor establishing efficacy of the elementary quantum system in classical information storage. The advantage is established by…
Quantum State Compression Shadow
Chen Ding, Xiao-Yue Xu, Shuo Zhang +2
Quantum state readout serves as the cornerstone of quantum information processing, exerting profound influence on quantum communication, computation, and metrology. In this study,…
Circuit-Noise-Resilient Virtual Distillation
Xiao-Yue Xu, Chen Ding, Shuo Zhang +2
Quantum error mitigation (QEM) is vital for improving quantum algorithms' accuracy on noisy near-term devices. A typical QEM method, called Virtual Distillation (VD), can suffer fr…
Evaluating the Resilience of Variational Quantum Algorithms to Leakage Noise
Chen Ding, Xiao-Yue Xu, Shuo Zhang +2
As we are entering the era of constructing practical quantum computers, suppressing the inevitable noise to accomplish reliable computational tasks will be the primary goal. Leakag…
Active Learning on a Programmable Photonic Quantum Processor
Chen Ding, Xiao-Yue Xu, Yun-Fei Niu +3
Training a quantum machine learning model generally requires a large labeled dataset, which incurs high labeling and computational costs. To reduce such costs, a selective training…
Parameter-Parallel Distributed Variational Quantum Algorithm
Yun-Fei Niu, Shuo Zhang, Chen Ding +2
Variational quantum algorithms (VQAs) have emerged as a promising near-term technique to explore practical quantum advantage on noisy intermediate-scale quantum (NISQ) devices. How…
Noise-Resistant Quantum State Compression Readout
Chen Ding, Xiao-Yue Xu, Yun-Fei Niu +2
Qubit measurement is generally the most error-prone operation that degrades the performance of near-term quantum devices, and the exponential decay of readout fidelity severely imp…
Quantum search for unknown number of target items hybridizing the fixed-point method with the trail-and-error method
Tan Li, Shuo Zhang, Xiang-Qun Fu +4
For the unsorted database quantum search with the unknown fraction of target items, there are mainly two kinds of methods, i.e., fixed-point or trail-and-error. (i) In terms of…
Quantum-enhanced least-square support vector machine: simplified quantum algorithm and sparse solutions
Jie Lin, Dan-Bo Zhang, Shuo Zhang +3
Quantum algorithms can enhance machine learning in different aspects. Here, we study quantum-enhanced least-square support vector machine (LS-SVM). Firstly, a novel quantum algorit…
Exact quantum search based on analytical multiphase matching for known number of target items and the experimental demonstration on IBM Q
Tan Li, Xiang-Qun Fu, Yang Wang +4
In [Phys. Rev. Lett. 113, 210501 (2014)], to achieve the optimal fixed-point quantum search in the case of unknown fraction (denoted by ) of target items, the analytical multiph…
Complementary-multiphase quantum search for all numbers of target items
Tan Li, Wan-Su Bao, He-Liang Huang +7
Grover's algorithm achieves a quadratic speedup over classical algorithms, but it is considered necessary to know the value of exactly [Phys. Rev. Lett. 95, 150501 (2005); Phys…
Research on phases of Grover-type algorithms
Bo-wen Ma, Wan-su Bao, Xiang Wang +4
When applying Grover's algorithm to an unordered database, the probability of obtaining correct results usually decreases as the quantity of target increases. To amend the limitati…
Realization of t-bit semiclassical quantum Fourier transform on IBM's quantum cloud computer
Fu Xiang-qun, Bao Wan-su, Huang He-liang +5
To overcome the difficulty of realizing large-scale quantum Fourier transform (QFT) within existing technology, this paper presents a resource-saving method, namely t-bit semiclass…
Ground state cooling in a hybrid optomechanical system with a three-level atomic ensemble
Tan Li, Shuo Zhang, He-Liang Huang +4
Cooling mechanical resonators is of great importance for both fundamental study and applied science. We investigate the hybrid optomechanical cooling with a three-level atomic ense…
Homomorphic Encryption Experiments on IBM's Cloud Quantum Computing Platform
He-Liang Huang, You-Wei Zhao, Tan Li +6
Quantum computing has undergone rapid development in recent years. Owing to limitations on scalability, personal quantum computers still seem slightly unrealistic in the near futur…