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 9131
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
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Keywords
- topological quantum computing
- quantum machine learning
- quantum biology
- quantum information
- quantum annealing
