Advances in Quantum Artificial Intelligence and Machine Learning
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: closed (30 November 2022) | Viewed by 22362
Special Issue Editors
Interests: machine learning; artificial intelligence; quantum computing
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence in medicine; uncertainty and reasoning; intelligent monitoring systems;knowledge engineering; quantum computing
Interests: machine consciousness; cognitive robotics; quantum computing; computational creativity; artificial intelligence; cognitive architectures
Special Issue Information
Dear Colleagues,
Quantum artificial intelligence will change the way we are looking at the world. Quantum symbolical AI algorithms on a quantum computer will be faster because they can simultaneously encode many inputs of a problem and perform the calculation on all inputs in the time it takes to do one of the calculations classically. However, the solution cannot be accessed without additional costs.
The use quantum coprocessors for extensive and non tractable computation routines in AI will lead to new machine learning and artificial intelligence applications.
Linear algebra-based quantum machine learning is based on quantum gates that describe quantum basic linear algebra subroutines. These subroutines exhibit theoretical exponential speedups compared to classical counterparts and are essential for machine learning. Quantum annealing solves optimization problems.
Quantum-Inspired machine learning and AI algorithms are based on mathematical quantum theory to model the algorithms.
Quantum cognition uses a mathematical quantum theory to model cognitive phenomena.
clues from psychology indicate that human cognition is not only based on traditional probability theory as explained by Kolmogorov’s axioms but additionally on quantum probability.
Submissions may include original research articles or comprehensive reviews related to the topic.
Prof. Dr. Andreas (Andrzej) Wichert
Prof. Dr. Moret-Bonillo Vicente
Prof. Dr. Antonio Chella
Guest Editors
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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.
Keywords
- Quantum Artificial Intelligence
- Quantum Machine Learning
- Quantum Cognition
- Quantum-Inspired Algorithms
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.