Part of the 2010 IEEE World Congress on Computational Intelligence

Although quantum computing is still in its nascent days, there are experiments that successfully perform quantum computation on a small number of qubits. Recently, researchers at the NIST demonstrated continuous quantum operations using a trapped-ion processor. Other researchers have discovered a way to make quantum devices using technology common in our current chip-making industry. Historically, classical computer concepts and underlying technologies have been invented by mathematicians and physicists rather than engineers. It was engineers, however, who took basic concepts and ideas and created the practical powerful and inexpensive computers of today. We believe that the same will happen in case of quantum computing.

Some typical research areas that will be discussed in this special session include (but are not limited to) the following:

- Evolutionary Techniques and Quantum Computing. Including: (a) use of evolutionary paradigms to create quantum circuits, quantum algorithms, quantum architectures and quantum games, (b) creation of new quantum algorithms and architectures inspired by the concepts of evolution and other biological ideas, (c) use of evolutionary algorithms to solve any practical problems in designing quantum devices.
- Design principles of new quantum computers and methodologies, such as adiabatic quantum computers, quantum walks, topological quantum computers, quantum automata and one-way quantum computers.
- Design Automation and Synthesis of Quantum circuits, analogous to traditional CAD of logic synthesis. The research includes using Genetic Algorithm, Genetic Programming and other evolutionary and biology mimicking methods to synthesize/optimize quantum circuits or nano circuits. There is also a research on using new algebraic and group theory methods.
- Programming languages and environments for quantum synthesis and algorithms. Design of complete CAD systems for synthesis of quantum circuits and computers.
- Quantum Computational Intelligence all machine learning and problem-solving models known from Computational Intelligence such as Neural Nets, Bayesian networks, Logic Networks, Fuzzy Logic, state machines, evolvable hardware, etc can be extended to those based on quantum circuits and automata.
- Quantum game theory, applications of quantum games.
- Grover algorithm and its applications to solve NP-hard problems. New algorithms for search implemented on various types of quantum computers. Extensions to Grover algorithm such as Cerf-Williams-Grover algorithm.
- Design, testing and verification of practical quantum circuits, including quantum neural nets using various realization technologies. Applications of quantum tomography to test quantum circuits.
- Using GA, GP and other evolutionary and biological paradigms in all areas of quantum circuits, quantum information and quantum computing.
- Applications of quantum concepts in Computational Intelligence, Multimedia and Robotics.
- Quantum inspired evolutionary computation, quantum inspired genetic algorithms.
- Quantum Logic and new models for quantum and reversible computing.

Paper Submission: | February 7, 2010 (already extended deadline) |

Acceptance Notification: | March 15, 2010 |

Final Manuscript Due: | May 2, 2010 |

To submit, visit http://ieee-cis.org/conferences/cec2010/upload.php and in the "Main research topic" select "SS69: Quantum Computing".

CEC is one of the flagship conferences for the IEEE Computational Intelligence Society. All special session papers will be treated in the same way as regular papers. The confernce proceedings of CEC have been continuously included in the **EI Compendex Database** and **IEEE Xplore**.

- William N. N. Hung, Synopsys, USA, (Chair)
- Xiaoyu Song, Portland State University, USA
- Marek Perkowski, Portland State University, USA
- Guowu Yang, University of Electronic Science and Technology, China
- Hanwu Chen, Southeast University, China
- Martin Lukac, Tohoku University, Japan

E-mail contact: william_hung@alumni.utexas.net

Last Modified: January 29, 2010