Advances in Quantum Computing and Applications
This special issue belongs to the section "E1: Mathematics and Computer Science".
Special Issue Information
Dear Colleagues,
With the field of quantum computing maturing and the increasing discovery of application areas, it is expected that quantum computers will solve specific problems much faster than current and future generations of classical computers. The development of quantum computing hardware has seen significant progress in recent years from gate-based to adiabatic (quantum annealing) and photonic computational models. The first results confirm the feasibility of applying such hardware to real-world situations such as traffic flow optimization, drug discovery, portfolio optimization, encryption, and machine learning. It is important for the research community to highlight current progress in this field and encourage appropriate steps to be taken in the industry, and this Special Issue provides the platform to do so.
Prof. Dr. Frank Phillipson
Dr. Sebastian Feld
Dr. Matthias Möller
Guest Editors
Ward van der Schoot
Niels Neumann
Guest Editor Assistants
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Keywords
- advances in variational algorithms
- applications of gate-based quantum computing
- applications of photonic quantum computing
- applications of quantum annealing
- distributed quantum computing
- error-correction algorithms
- hybrid quantum computing
- impact of quantum computing on business and society
- implementation of quantum computing
- new nisq algorithms and applications
- performance evaluation of quantum algorithms
- quantum algorithm structures and patterns
- quantum algorithms and complexity
- quantum hardware advances
- Quantum machine learning (QML)
- secure cloud-based quantum computing
- shallow (constant-depth) algorithms
- simulation of quantum processes
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Published Papers
Mathematics - ISSN 2227-7390