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Special Issue "Applications of Quantum Machine Learning"
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Physics".
Deadline for manuscript submissions: 30 November 2023 | Viewed by 122
Special Issue Editor
E-Mail Website1 Website2
Interests: intelligent systems; quantum computing; quantum intelligent systems; evolutionary computation; fuzzy systems; neural networks; deep learning; computational intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Today's computational requirement for solving complex problems involves giant data sets and massive and sophisticated learning structures that commonly use neurons, fuzzy logic, and optimization algorithms. Machine learning is a field of artificial intelligence with many computationally intractable complex problems. The emerging field of quantum machine learning (QML) integrates quantum computing, aiming to provide in the future an exponential speed-up with respect to classical machine learning methods. Different quantum research trends exist in algorithms of interest in the QML field and other closely related fields. This Special Issue aims to publish novel theoretical and practical proposals for QML, quantum learning theory, quantum deep learning, quantum convolutional neural networks, quantum transfer learning, quantum optimization algorithms, and any other techniques that combine quantum computing with learning algorithms.
Prof. Dr. Oscar Humberto Ross
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Axioms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- quantum machine learning
- quantum intelligent systems
- quantum learning systems
- quantum deep learning
- quantum transfer learning
- quanvolutional neural networks