Explorations in Quantum Computing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Quantum Science and Technology".
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 12806
Special Issue Editors
Interests: machine-learning (A.I.); cognitive systems; quantum computing; computer vision
Special Issue Information
Exactly twenty years after publication of the first (by then unabridged) textbook on Quantum Computation and Quantum Information written by Michael Nielsen and Isaac Chuang, it is fitting to undertake a broad-based exploration into the field in order to map out about the progress that has been made in the intervening time.
It is clear that the subject has developed along many fronts in terms of its algorithmic range, its domains of application, its hardware implementation and its underlying theory. One of the most striking new theoretical proposals is that of topological quantum computing, but many other very important approaches are being investigated and have been attracting the efforts of large numbers of researchers, for example relating to the application of quantum computing in artificial intelligence, machine learning, chemistry, biology etc. Moreover, after decades of research, recent developments in quantum hardware and software seem to indicate that real-world relevant quantum computations are within reach, thus imposing the need to develop appropriate software toolchains that will bridge the gap between algorithms and physical machines. At the other end of the spectrum, the development of category-theoretic approaches to quantum computing is bringing fundamental new insight into the field.
With this Special Issue we aim at exploring the growing field of Quantum Computing and its expansions to areas such as Models of Computing, Artificial Intelligence, Chemistry, Cryptography, Languages and Compilers, Category theory, Information Theory, Optimisation Algorithms, Quantum Annealing, etc., by collecting both review articles and articles reporting on new findings produced in the extended quantum computing research area.
Dr. David Windridge
Dr. Alessandra Di Pierro
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. Applied Sciences 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 2400 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
- topological quantum computing
- quantum machine learning
- quantum biology
- quantum information
- quantum annealing
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.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
