Towards analyzing large graphs with quantum annealing

Autor: Ville Kotovirta, Hannu Reittu, Lasse Leskelä, Tomi Raty, Hannu Rummukainen
Přispěvatelé: Baru, Chaitanya, Huan, Jun, Khan, Latifur, Hu, Xiaohua Tony, Ak, Ronay, Tian, Yuanyuan, Barga, Roger, Zaniolo, Carlo, Lee, Kisung, Ye, Yanfang Fanny
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Reittu, H, Räty, T, Leskelä, L, Rummukainen, H & Räty, T 2019, Towards analyzing large graphs with quantum annealing . in C Baru, J Huan, L Khan, X T Hu, R Ak, Y Tian, R Barga, C Zaniolo, K Lee & Y F Ye (eds), Proceedings-2019 IEEE International Conference on Big Data, Big Data 2019 ., 9006174, IEEE Institute of Electrical and Electronic Engineers, pp. 2457-2464, The 2019 IEEE International Conference on Big Data, Los Angeles, California, United States, 9/12/19 . https://doi.org/10.1109/BigData47090.2019.9006174
IEEE BigData
2019 IEEE International Conference on Big Data (Big Data)
DOI: 10.1109/BigData47090.2019.9006174
Popis: The use of quantum computing in graph community detection and regularity checking related to Szemerédi's Regularity Lemma (SRL) are demonstrated with D-Wave Systems' quantum annealer and simulations. We demonstrate the capability of quantum computing in solving hard problems relevant to big data. A new community detection algorithm based on SRL is also introduced and tested.
Databáze: OpenAIRE