Quantum Computation & Simulation

Scope

Since entering the big data era, machine learning and optimization algorithms are currently widely used in our daily life and promise to assist in the development of new technologies. However, the computational power of the classical computer is gradually reaching its limit at the same time. Quantum computing, as an emerging technology, can surmount this restriction and achieve exponential speedup in many complex computational problems.

Quantum computing is also a promising candidate and differs from other emerging technologies in that it goes beyond the conventional Turing-machine approaches. Although still in its infancy, there are important theoretical and experimental indications that for certain problems they can be more efficient than any conventional Turing machine-based models. Its integration with machine learning and optimization is two-fold. Firstly, the development of quantum computing, simulation and other related quantum problems may be accelerated through the adoption of advanced machine learning and classical optimization schemes. Secondly, quantum algorithms for machine learning and optimization could provide fundamental advantages.

This special issue focuses on Quantum Computation & Simulation with overlaps in machine learning or optimization. This issue will showcase the latest progress in quantum computing simulation and computing and bring together academic and industry researchers to accelerate the development in quantum computing.

This special issue solicits original research as well as review articles. Topics of interest include, but are not limited to:

• Quantum computation and simulation with different hardware, e.g., photonics, superconductor, ion-trap, etc.
• Quantum computing and algorithms with applications in chemistry, biology, finance, or other industries
• Quantum machine learning
• Machine learning for quantum computation and simulation
• Quantum annealing and optimization
• Investigations of quantum physics based on quantum computation and simulation

Guest Editors

Nana Liu, Shanghai Jiao Tong University, China
Zhian Jia, National University of Singapore, Singapore
Shang Yu, Imperial College London, UK; Zhejiang Lab, China
Raj B. Patel, Imperial College London, UK
Jian-Qi Zhang, Innovation Academy for Precision Measurement Science and Technology, China
Jian-Shun Tang, University of Science and Technology of China, China

Table of Contents

Articles will appear below as they are published.