9 citations · 17 across the 4 of their papers we have counts for
7 papers
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…