Special Issue "Quantum Algorithms"

Guest Editor
Dr. Andreas Klappenecker
Department of Computer Science and Engineering, Texas A&M University, College Station, TX 77843-3112, USA
Website: http://faculty.cs.tamu.edu/klappi/
E-Mail:
Interests: quantum and randomized algorithms; quantum error-correcting codes

Dear Colleagues,

Quantum computing is one of the most exciting developments in computer science. It is conjectured that quantum computers will be able to solve certain problems faster than any classical computer. For this special issue, we welcome original and review papers on all aspects of quantum algorithms. This includes quantum algorithms for algebraic, combinatorial, number-theoretic, and numerical problems.

Dr. Andreas Klappenecker
Guest Editor

Submission

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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed Open Access quarterly 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 300 CHF (Swiss Francs).

• distributed quantum algorithms
• quantum circuits
• algorithmic aspects of fault-tolerant quantum computing
• quantum complexity theory