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Quantum Computing for Complex Dynamics, 2nd Edition

This special issue belongs to the section “Quantum Information“.

Special Issue Information

Dear Colleagues,

During the 1980s, physicists combined a quantum mechanical model with computer science, producing quantum computers. These quantum computers could perform much better than a classical computer. Since then, the research on quantum computation has been growing rapidly, both in architecture and algorithms.

Complex dynamics are known for their complexity, chaos, and randomness, which widely exist in the field of cryptography, communication, chemistry, and so on. It is hard for classic computers to deal with complex dynamics, while quantum computers act as an ideal tool with which to calculate and simulate them.

This Special Issue mainly focuses on the state of the art of the research on quantum computation and quantum algorithms, particularly that on the computation of the complex dynamics. The topics include, but are not limited to, the following:

  • Quantum algorithms;
  • Quantum circuits;
  • Quantum communication;
  • Quantum computing;
  • Quantum cryptography;
  • Quantum computation;
  • Quantum computer architecture;
  • Quantum information;
  • Quantum machine learning;
  • Quantum networks and communication;
  • Quantum programming;
  • Quantum simulation;
  • Complex dynamics;
  • Open quantum dynamics;
  • Computational complexity;
  • Quantum chaos;
  • Quantum complexity theory;
  • Quantum maps;
  • Quantum dots.

Dr. Heng Fan
Prof. Dr. Guilu Long
Guest Editors

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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 algorithms
  • quantum circuits
  • quantum communication
  • quantum computing
  • quantum cryptography
  • quantum computation

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Entropy - ISSN 1099-4300