FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4292748810> ?p ?o ?g. }

• W4292748810 abstract "Clustering is one of the most frequent problems in many domains, in particular, in particle physics where jet reconstruction is central in experimental analyses. Jet clustering at the CERN's Large Hadron Collider (LHC) is computationally expensive and the difficulty of this task will increase with the upcoming High-Luminosity LHC (HL-LHC). In this paper, we study the case in which quantum computing algorithms might improve jet clustering by considering two novel quantum algorithms which may speed up the classical jet clustering algorithms. The first one is a quantum subroutine to compute a Minkowski-based distance between two data points, whereas the second one consists of a quantum circuit to track the maximum into a list of unsorted data. The latter algorithm could be of value beyond particle physics, for instance in statistics. When one or both of these algorithms are implemented into the classical versions of well-known clustering algorithms (K-means, Affinity Propagation and $k_T$-jet) we obtain efficiencies comparable to those of their classical counterparts. Even more, exponential speed-up could be achieved, in the first two algorithms, in data dimensionality and data length when the distance algorithm or the maximum searching algorithm are applied." @default.
• W4292748810 created "2022-08-23" @default.
• W4292748810 creator A5008161693 @default.
• W4292748810 creator A5034550912 @default.
• W4292748810 creator A5070196685 @default.
• W4292748810 date "2022-08-23" @default.
• W4292748810 modified "2023-10-15" @default.
• W4292748810 title "Quantum clustering and jet reconstruction at the LHC" @default.
• W4292748810 cites W1500657154 @default.
• W4292748810 cites W1506247448 @default.
• W4292748810 cites W1782337609 @default.
• W4292748810 cites W1943049539 @default.
• W4292748810 cites W1971908937 @default.
• W4292748810 cites W1976894501 @default.
• W4292748810 cites W1982899292 @default.
• W4292748810 cites W1996262512 @default.
• W4292748810 cites W1999234638 @default.
• W4292748810 cites W1999557321 @default.
• W4292748810 cites W2002372750 @default.
• W4292748810 cites W2004791924 @default.
• W4292748810 cites W2010140249 @default.
• W4292748810 cites W2010478558 @default.
• W4292748810 cites W2020324550 @default.
• W4292748810 cites W2038811871 @default.
• W4292748810 cites W2045914866 @default.
• W4292748810 cites W2048987940 @default.
• W4292748810 cites W2051446825 @default.
• W4292748810 cites W2054315085 @default.
• W4292748810 cites W2057341444 @default.
• W4292748810 cites W2075666745 @default.
• W4292748810 cites W2086102856 @default.
• W4292748810 cites W2094908058 @default.
• W4292748810 cites W2131471436 @default.
• W4292748810 cites W2150593711 @default.
• W4292748810 cites W2164248509 @default.
• W4292748810 cites W2165232124 @default.
• W4292748810 cites W2166610567 @default.
• W4292748810 cites W2179731956 @default.
• W4292748810 cites W2212901559 @default.
• W4292748810 cites W2841500134 @default.
• W4292748810 cites W2897217696 @default.
• W4292748810 cites W2929504094 @default.
• W4292748810 cites W2942903016 @default.
• W4292748810 cites W2953154703 @default.
• W4292748810 cites W2969401585 @default.
• W4292748810 cites W2969847408 @default.
• W4292748810 cites W3037687232 @default.
• W4292748810 cites W3046879152 @default.
• W4292748810 cites W3047619630 @default.
• W4292748810 cites W3089712125 @default.
• W4292748810 cites W3092348214 @default.
• W4292748810 cites W3092844945 @default.
• W4292748810 cites W3101381270 @default.
• W4292748810 cites W3101538771 @default.
• W4292748810 cites W3101721439 @default.
• W4292748810 cites W3103872297 @default.
• W4292748810 cites W3105099550 @default.
• W4292748810 cites W3105228778 @default.
• W4292748810 cites W3105302391 @default.
• W4292748810 cites W3105794216 @default.
• W4292748810 cites W3106349779 @default.
• W4292748810 cites W3109311724 @default.
• W4292748810 cites W3111297213 @default.
• W4292748810 cites W3112434727 @default.
• W4292748810 cites W3116405490 @default.
• W4292748810 cites W3121614399 @default.
• W4292748810 cites W3122543598 @default.
• W4292748810 cites W3127316317 @default.
• W4292748810 cites W3128914570 @default.
• W4292748810 cites W3137771865 @default.
• W4292748810 cites W3161591545 @default.
• W4292748810 cites W3193878271 @default.
• W4292748810 cites W3198786209 @default.
• W4292748810 cites W3203267534 @default.
• W4292748810 cites W4200633293 @default.
• W4292748810 cites W4220663753 @default.
• W4292748810 cites W4236154753 @default.
• W4292748810 cites W4283328796 @default.
• W4292748810 doi "https://doi.org/10.1103/physrevd.106.036021" @default.
• W4292748810 hasPublicationYear "2022" @default.
• W4292748810 type Work @default.
• W4292748810 citedByCount "2" @default.
• W4292748810 countsByYear W42927488102022 @default.
• W4292748810 crossrefType "journal-article" @default.
• W4292748810 hasAuthorship W4292748810A5008161693 @default.
• W4292748810 hasAuthorship W4292748810A5034550912 @default.
• W4292748810 hasAuthorship W4292748810A5070196685 @default.
• W4292748810 hasBestOaLocation W42927488101 @default.
• W4292748810 hasConcept C109214941 @default.
• W4292748810 hasConcept C11413529 @default.
• W4292748810 hasConcept C119947313 @default.
• W4292748810 hasConcept C121332964 @default.
• W4292748810 hasConcept C154945302 @default.
• W4292748810 hasConcept C41008148 @default.
• W4292748810 hasConcept C73555534 @default.
• W4292748810 hasConcept C87668248 @default.
• W4292748810 hasConcept C97355855 @default.
• W4292748810 hasConceptScore W4292748810C109214941 @default.
• W4292748810 hasConceptScore W4292748810C11413529 @default.
• W4292748810 hasConceptScore W4292748810C119947313 @default.

• next