Nanotechnology and Quantum Computing

Part of the 2008 IEEE World Congress on Computational Intelligence

Nanotechnology has made tremendous progress in recent years. Evolutionary techniques such as neural networks has been successfully applied to nano-computing. 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 nano-computing and quantum computing. Currently there are several research groups and conferences in the field of nanotechnology, nano-architectures, nano-computing, quantum computing, quantum circuits and quantum information that are addressed to physicists, mathematicians and theoretical computer scientists. Although quantum computing (as a sub-field of nanotechnology) is still in its nascent days, there have been experiments that successfully perform quantum computation on a small number of qubits. There is a growing group of researchers with engineering background who do active research in the area of what will become quantum computer engineering and there are universities who already teach "quantum engineers".

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

- Evolutionary Techniques and Nanotechnology
- Evolutionary Techniques and Quantum Computing
- Design principles of new quantum computers and methodologies, such as adiabatic quantum computers, quantum walks and oneway quantum computers.
- Design Automation and Synthesis of Nano or 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.
- Programming languages and environments for quantum synthesis and algorithms.
- Quantum Computational Intelligence - all learning and problem-solving models known from Computational Intelligence such as Neural Nets, Bayes nets, 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.
- There is a special interest in Grover algorithm and its applications to solve NP-hard problems. New algorithms for search implemented on various types of quantum computers.
- Design, testing and verification of practical quantum circuits, including quantum neural nets using various realization technologies.
- Using GA, GP and other evolutionary paradigms in all areas of quantum circuits, quantum information and quantum computing.
- Fault-tolerant and defect-tolerant nano-computing using evolutionary techniques.
- Neural Networks and their applications in nano-architectures and nanotechnology.
- Nanotechnology based on hybrid CMOS/Molecular (CMOL) techniques.
- Evolutionary Computing and Quantum Nanotubes.

Paper Submission: | extended to December 15, 2007 |

Acceptance Notification: | February 1, 2008 |

Final Manuscript Due: | March 1, 2008 |

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)
- Marek Perkowski, Portland State University, USA, (Past Chair)
- Xiaoyu Song, Portland State University, USA
- Guowu Yang, University of Electronic Science and Technology of China, China
- D. Michael Miller, University of Victoria, Canada

- William N. N. Hung, Synopsys, USA, (Chair)
- Marek Perkowski, Portland State University, USA, (Past Chair)
- Xiaoyu Song, Portland State University, USA
- Guowu Yang, University of Electronic Science and Technology of China, China
- D. Michael Miller, University of Victoria, Canada
- Jacob D. Biamonte, Oxford University, England
- El Mostapha Aboulhamid, University of Montreal, Canada
- Otmane Ait Mohamed, Concordia University, Canada

Last Modified: May 9, 2008