nach oben

Erschienen in:

2024 | OriginalPaper | Buchkapitel

QuantumCLEF - Quantum Computing at CLEF

verfasst von : Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Nicola Ferro

Erschienen in: Advances in Information Retrieval

Verlag: Springer Nature Switzerland

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Over the last few years, Quantum Computing (QC) has captured the attention of numerous researchers pertaining to different fields since, due to technological advancements, QC resources have become more available and also applicable in solving practical problems. In the current landscape, Information Retrieval (IR) and Recommender Systems (RS) need to perform computationally intensive operations on massive and heterogeneous datasets. Therefore, it could be possible to use QC and especially Quantum Annealing (QA) technologies to boost systems’ performance both in terms of efficiency and effectiveness. The objective of this work is to present the first edition of the QuantumCLEF lab, which is composed of two tasks that aim at:

evaluating QA approaches compared to their traditional counterpart;
identifying new problem formulations to discover novel methods that leverage the capabilities of QA for improved solutions;
establishing collaborations among researchers from different fields to harness their knowledge and skills to solve the considered challenges and promote the usage of QA.

This lab will employ the QC resources provided by CINECA, one of the most important computing centers worldwide. We also describe the design of our infrastructure which uses Docker and Kubernetes to ensure scalability, fault tolerance and replicability.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges

Nächstes Kapitel BioASQ at CLEF2024: The Twelfth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge

https://qclef.dei.unipd.it/.

https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset.

http://qwone.com/~jason/20Newsgroups/.

https://www.kaggle.com/datasets/jrobischon/wikipedia-movie-plots.

Arthur, D., Date, P.: Balanced k-means clustering on an adiabatic quantum computer. Quantum Inf. Process. 20(9), 294 (2021). https://doi.org/10.1007/s11128-021-03240-8MathSciNetCrossRef

Bauckhage, C., Piatkowski, N., Sifa, R., Hecker, D., Wrobel, S.: A QUBO formulation of the k-medoids problem. In: Lernen, Wissen, Daten, Analysen, Berlin, Germany, CEUR Workshop Proceedings, vol. 2454, pp. 54–63, CEUR-WS.org (2019). https://ceur-ws.org/Vol-2454/paper_39.pdf

Burges, C.J.C.: From RankNet to LambdaRank to LambdaMART: an overview. Technical report, Microsoft Research, MSR-TR-2010-82 (2010)

Delilbasic, A., Saux, B.L., Riedel, M., Michielsen, K., Cavallaro, G.: A single-step multiclass SVM based on quantum annealing for remote sensing data classification. arXiv preprint arXiv:2303.11705 (2023)

Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)

Ferrari Dacrema, M., Moroni, F., Nembrini, R., Ferro, N., Faggioli, G., Cremonesi, P.: Towards feature selection for ranking and classification exploiting quantum annealers. In: Proceedings of 45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), pp. 2814–2824. ACM Press, New York (2022)

Fröbe, M., et al.: The information retrieval experiment platform. In: Chen, H.H., Duh, W.J., Huang, H.H., Kato, M.P., Mothe, J., Poblete, B. (eds.) Proceedings of 46th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), pp. 2826–2836. ACM Press, New York (2023)

Glover, F.W., Kochenberger, G.A., Du, Y.: Quantum bridge analytics I: a tutorial on formulating and using QUBO models. 4OR 17(4), 335–371 (2019). https://doi.org/10.1007/s10288-019-00424-y

Melucci, M.: Introduction to Information Retrieval and Quantum Mechanics. The Information Retrieval Series, vol. 35. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-48313-8CrossRef

10.

Nembrini, R., Ferrari Dacrema, M., Cremonesi, P.: Feature selection for recommender systems with quantum computing. Entropy 23(8), 970 (2021)MathSciNetCrossRef

11.

Nguyen, T., et al.: MS Marco: a human generated machine reading comprehension dataset. Choice 2640, 660 (2016)

12.

Pasin, A., Ferrari Dacrema, M., Cremonesi, P., Ferro, N.: qCLEF: a proposal to evaluate quantum annealing for information retrieval and recommender systems. In: Arampatzis, A., et al. (eds.) CLEF 2023. LNCS, vol. 14163, pp. 97–108. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-42448-9_9CrossRef

13.

Pilato, G., Vella, F.: A survey on quantum computing for recommendation systems. Information 14(1), 20 (2023). https://doi.org/10.3390/info14010020CrossRef

14.

Potthast, M., Gollub, T., Wiegmann, M., Stein, B.: TIRA integrated research architecture. In: Ferro, N., Peters, C. (eds.) Information Retrieval Evaluation in a Changing World. The Information Retrieval Series, vol. 41, pp. 123–160. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22948-1_5CrossRef

15.

Qin, T., Liu, T.Y.: Introducing LETOR 4.0 Datasets. arXiv org, Information Retrieval (cs.IR) arXiv:1306.2597 (2013)

16.

van Rijsbergen, C.J.: The Geometry of Information Retrieval. Cambridge University Press, Cambridge (2004)CrossRef

17.

Uprety, S., Gkoumas, D., Song, D.: A survey of quantum theory inspired approaches to information retrieval. ACM Comput. Surv. (CSUR) 53(5), 1–39 (2020)CrossRef

18.

Ushijima-Mwesigwa, H., Negre, C.F.A., Mniszewski, S.M.: Graph partitioning using quantum annealing on the d-wave system. CoRR abs/1705.03082 (2017). https://arxiv.org/abs/1705.03082

19.

Willsch, D., Willsch, M., De Raedt, H., Michielsen, K.: Support vector machines on the d-wave quantum annealer. Comput. Phys. Commun. 248, 107006 (2020)MathSciNetCrossRef

20.

Wu, Y., Cao, Q., Shen, H., Tao, S., Cheng, X.: INMO: a model-agnostic and scalable module for inductive collaborative filtering. In: SIGIR 2022: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, pp. 91–101. ACM (2022). https://doi.org/10.1145/3477495.3532000

21.

Zaiou, A., Bennani, Y., Matei, B., Hibti, M.: Balanced k-means using quantum annealing. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–7 (2021). https://doi.org/10.1109/SSCI50451.2021.9659997

Titel: QuantumCLEF - Quantum Computing at CLEF
verfasst von: Andrea Pasin
Maurizio Ferrari Dacrema
Paolo Cremonesi
Nicola Ferro
Verlag: Springer Nature Switzerland
Buch: Advances in Information Retrieval
Print ISBN: 978-3-031-56068-2

Electronic ISBN: 978-3-031-56069-9

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-56069-9_66

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner