paper

Quantum Algorithms for Data Fusion: Trends and Applications

Volume Number:
5
Issue Number:
1
Pages:
13
–
15
Publication Date:
1 July 2022
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Abstract

Werner Heisenberg’s (1901–1976) famous Uncertainty Relation (1927) characterizes the essence of quantum physics, which is shaping an ever-increasing number of real-world applications. While emerging quantum technologies for communication, sensing, or computing exploit quantum physical phenomena as such, quantum algorithms use the mathematical framework and numerical methods for dealing with “uncertainty”, which physicists have developed over the last 100 years, to fuse data with their various “uncertainties” for harvesting actionable information. On the other hand, quantum computers may become game changers for solving classical fusion problems