Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Chao-Hua Yu"'
Autor:
Chao-Hua Yu
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 12:676-684
Recently, a quantum algorithm for a fundamentally important task in data mining, association rules mining (ARM), called qARM for short, has been proposed. Notably, qARM achieves significant speedup over its classical counterpart for implementing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee0f1cc193665f46762cb8e8766240e1
https://doi.org/10.1109/jetcas.2022.3201097
https://doi.org/10.1109/jetcas.2022.3201097
Publikováno v:
Advanced Quantum Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af34671901816bfec26465768b6dda87
https://doi.org/10.1002/qute.202300031
https://doi.org/10.1002/qute.202300031
Publikováno v:
Physical Review A. 106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a151c53baef974cca99db670b0f914d2
https://doi.org/10.1103/physreva.106.012406
https://doi.org/10.1103/physreva.106.012406
Publikováno v:
Physical Review A
Physical Review A, American Physical Society 2021, 104 (6), ⟨10.1103/PhysRevA.104.062414⟩
Physical Review A, American Physical Society 2021, 104 (6), ⟨10.1103/PhysRevA.104.062414⟩
International audience; Matrices with the displacement structures of circulant, Toeplitz, and Hankel types as well as matrices with structures generalizing these types are omnipresent in computations of sciences and engineering. In this paper we pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27233d7420f01dcd3111f2d3f916667c
https://doi.org/10.1103/physreva.104.062414
https://doi.org/10.1103/physreva.104.062414
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 607:128227
Mean Centering (MC) is an important data preprocessing technique, which has a wide range of applications in data mining, machine learning, and multivariate statistical analysis. When the data set is large, this process will be time-consuming. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fa59f15386a7e125dcb77eb3422a3c0
https://doi.org/10.1016/j.physa.2022.128227
https://doi.org/10.1016/j.physa.2022.128227
Publikováno v:
Quantum Information Processing. 18
Graph comparison is an established NP-hard problem. In this paper, we present an efficiently scaling quantum algorithm which finds the size of the maximum common edge subgraph for any pair of unlabelled graphs and thus provides a meaningful measure o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df40255653746f0610d65e9a33c30263
https://doi.org/10.1007/s11128-019-2407-2
https://doi.org/10.1007/s11128-019-2407-2
Publikováno v:
Quantum Information Processing. 18
Data compression can be achieved by reducing the dimensionality of high-dimensional but approximately low-rank datasets, which may in fact be described by the variation of a much smaller number of parameters. It often serves as a preprocessing step t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08b3dd3052a4ea3beabb75a169d52cee
https://doi.org/10.1007/s11128-019-2364-9
https://doi.org/10.1007/s11128-019-2364-9
Publikováno v:
Physical Review A. 99
Visual tracking (VT) is the process of locating a moving object of interest in a video. It is a fundamental problem in computer vision, with various applications in human-computer interaction, security and surveillance, robot perception, traffic cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78a391349f415d228257f29ea26c05f3
https://doi.org/10.1103/physreva.99.022301
https://doi.org/10.1103/physreva.99.022301
Publikováno v:
Physics Letters A. 384:126595
The Harrow-Hassidim-Lloyd (HHL) algorithm is a method to solve the quantum linear system of equations that may be found at the core of various scientific applications and quantum machine learning models including the linear regression, support vector
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8b9e4c814b56b121635ad3046d17ee3
https://doi.org/10.1016/j.physleta.2020.126595
https://doi.org/10.1016/j.physleta.2020.126595
Ridge regression (RR) is an important machine learning technique which introduces a regularization hyperparameter $\alpha$ to ordinary multiple linear regression for analyzing data suffering from multicollinearity. In this paper, we present a quantum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe088e3080a6c9002f14d57d551795d5
http://arxiv.org/abs/1707.09524
http://arxiv.org/abs/1707.09524
