Quantum Computing Applications and DNA Data Storage Development
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 20 June 2025 | Viewed by 230
Special Issue Editor
Interests: quantum computing; computer engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are witnessing a new era of scientific research, and new reasoning methods need to be developed accordingly. As such, an expanded and fully updated set of mathematical concepts must be created to analyse vast quantities of data.
In light of this, we are pleased to inform you of the forthcoming Special Issue of Mathematics, “Quantum Computing Applications and DNA Data Storage Development”, which links QC logic-based applications to the utilisation of DNA data storage. CMOS transistors are nearing their minimum size limit; therefore, many large hardware companies, among other entities, are choosing to focus on QC.
However, we also need to store the vast amounts of data we are generating, and this demand has informed the conceptualisation of DNA data storage. Future large computer platforms will analyse these data using quantum accelerators.
Authors are invited to submit original research and review papers describing new quantum-logic issues, which should provide details on the amount of data used or produced with their approach. Papers from various fields, ranging from chemistry to economics, are welcome. We also encourage submissions from authors who have already combined DNA data storage with digital and quantum data.
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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