Quantum Computing Applications and DNA Data Storage Development
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 20 June 2025 | Viewed by 41
Special Issue Editor
Interests: quantum computing; computer engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are witnessing the emergence of a completely new way of doing scientific research, where new ways of reasoning need to be developed. The availability of an expanded and fully updated set of mathematical concepts enabling huge amounts of data to be analysed is essential.
Therefore, we are pleased to inform you about the forthcoming Special Issue of Mathematics on the topic of “Quantum Computing Applications and DNA Data Storage Development”. It clearly connects QC logic-based applications to the use of DNA data storage. CMOS transistors are very close to their lower size limit, hence the focus on QC from many large hardware companies and others. We should, however, not forget that we also need to store the huge amounts of data that we are generating, hence the notion of DNA data storage. Future large computer platforms will analyse these data by using quantum accelerators.
Authors are invited to submit papers where they describe mathematical concepts for different fields from chemistry to economics, and we also encourage authors to write about the combination of DNA data storage with digital and quantum data. Mathematics is essential in QC logic but also in biochemistry. In addition, we welcome original research and review articles.
Prof. Dr. Koen Bertels
Guest Editor
Manuscript Submission Information
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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 computing (QC)
- quantum algorithms
- machine learning
- computer engineering
- data storage
- DNA data storage
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