Index Advisor tools settle for sub-optimal index configurations based on greedy heuristics,
owing to the computational hardness of index selection. We investigate here how this …

Finding the optimal join order (JO) is one of the most important problems in query
optimisation, and has been extensively considered in research and practise. As it involves …

With quantum computers now available as cloud services, there is a global quest for
applications where a quantum advantage can be shown. Naturally, data management is a …

Recent advances in the manufacture of quantum computers attract much attention over a
wide range of fields, as early-stage quantum processing units (QPU) have become …

The use of quantum processing units (QPUs) promises speed-ups for solving computational
problems, in particular for discrete optimisation. While a few groundbreaking algorithmic …

The narrative around quantum computing is evolving quickly. First reports of quantum
computers able to solve certain scientific problems on-par with the precision of High …

Quantum computing has emerged as a promising tool for transforming the landscape of
computing technology. Recent efforts have applied quantum techniques to classical …

Quantum computing represents a next-generation technology in data processing, promising
to transcend the limitations of traditional computation. In this paper, we undertake an early …

Graph neural networks have shown great utility in streamlining and contextualizing machine
learning on relational databases, due to their ability to automate integration and capture …

Selecting indexes capable of reducing the cost of query processing in database systems is a
challenging task, especially in large-scale applications. Quantum computing has been …