QuantumCLEF - Quantum Computing at CLEF

Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, Nicola Ferro

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: