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A Toolbox to Understand the Physics of Quantum Data Management

Year: 2026

Type: conference-paper

Abstract: The application of quantum computing to data management has attracted growing interest, yet remains constrained by a limited understanding of how the physical behaviour of quantum devices relates to the structure and difficulty of database problems. In particular, evaluating quantum annealing approaches for combinatorial optimisation, which is central to many data management tasks, poses significant challenges beyond the scope of conventional empirical and complexity-theoretic methods.

Source: Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data)

DOI: 10.1145/3811628.3811835

Authors: Wolfgang Mauerer, Manuel Schönberger

Institutions: OTH Regensburg, Cornell University

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7167369200

FWCI: 8.936

Cites: 58

Cited by: 1

Related to: 10