Towards Model-Driven Engineering for Quantum AI

Armin Moin, Moharram Challenger, Atta Badii, Stephan Günnemann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Over the past decade, Artificial Intelligence (AI) has provided enormous new possibilities and opportunities, but also new demands and requirements for software systems. In particular, Machine Learning (ML) has proven useful in almost every vertical application domain. In the decade ahead, an unprecedented paradigm shift from classical computing towards Quantum Computing (QC), with perhaps a quantum-classical hybrid model, is expected. We argue that the Model-Driven Engineering (MDE) paradigm can be an enabler and a facilitator, when it comes to the quantum and the quantum-classical hybrid applications. This includes not only automated code generation, but also automated model checking and verification, as well as model analysis in the early design phases, and model-to-model transformations both at the design-time and at the runtime. In this paper, the vision is focused on MDE for Quantum AI, particularly Quantum ML for the Internet of Things (IoT) and smart Cyber-Physical Systems (CPS) applications.

Original languageEnglish
Title of host publicationINFORMATIK 2022 - Informatik in den Naturwissenschaften
EditorsDaniel Demmler, Daniel Krupka, Hannes Federrath
PublisherGesellschaft fur Informatik (GI)
Pages1121-1131
Number of pages11
ISBN (Electronic)9783885797203
DOIs
StatePublished - 2022
Event2022 Informatik in den Naturwissenschaften, INFORMATIK 2022 - 2022 Computer Science in the Natural Sciences, INFORMATIK 2022 - Hamburg, Germany
Duration: 26 Sep 202230 Sep 2022

Publication series

NameLecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
VolumeP-326
ISSN (Print)1617-5468

Conference

Conference2022 Informatik in den Naturwissenschaften, INFORMATIK 2022 - 2022 Computer Science in the Natural Sciences, INFORMATIK 2022
Country/TerritoryGermany
CityHamburg
Period26/09/2230/09/22

Keywords

  • artificial intelligence
  • cyber-physical systems
  • internet of things
  • machine learning
  • model-driven engineering
  • quantum computing

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