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Quantum Machine Intelligence

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This single-blind peer-reviewed journal publishes original articles on cutting-edge experimental and theoretical research in all areas of quantum artificial intelligence. The Journal is unique in promoting a synthesis of machine learning, data science and computational intelligence research with quantum computing developments.

Goal / Target audience
Its primary goal is to foster the utilization of quantum computing for real-world problems so as to pave the way towards the next generation of artificial intelligence systems. The Journal also publishes innovative papers reporting on machine intelligence theories, methods and applications inspired by physics and nature, e.g. computational intelligence, fuzzy systems, evolutionary computation, machine and deep learning.

Publisher
Springer Science and Business Media Deutschland GmbH

Topics/ Content
Selected areas and topics of interest include, but are not limited to:
 Quantum Machine Learning,
 Quantum Computing for Artificial Intelligence,
 Artificial Intelligence for Quantum Information Processing,
 Quantum and Bio-inspired Computational Intelligence,
 Quantum Annealing and Optimization.

ISSN
25244914, 25244906

More information
https://www.springer.com/journal/42484

The European Commission’s support for the production of this publication does not constitute an endorsement of the contents, which reflect the views only of the authors, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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