Special Session on Quantum Computing and Evolutionary Computation
Brisbane, Australia, June 10-15, 2012
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.
As quantum information and computation research continues to develop,
we will see increasing interest in adapting the philosophy of quantum
computing, information theory and ideology into other, more
traditional aspects of computational research. Although the hardware
technology to realize quantum computing still yet to be materialized,
research about the theoretical aspects of quantum computing and its
ideology has enjoyed some success with artificial and computational
This special session focus on combining various aspects of quantum
computing, information theory, and other aspects with existing fields
in artificial intelligence, especially evolutionary computation.
For example, quantum computing has inspired ideas in evolutionary algorithms.
Quantum probability is important because probability is inherently used
in evolutionary and other stochastic algorithms.
Quantum entanglement can further revolutionize the above algorithmic approaches.
Quantum information theory also has great potential as many research have correlated information theory with evolution.
Quantum complexity theory is also closely related to algorithm complexity.
Some typical research areas that will be discussed in this special session include (but are not limited to) the following:
- Quantum inspired evolutionary computation, quantum inspired genetic
- 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.
- Quantum implementation of artificial intelligence: many machine
learning and problem-solving models
such as evolvable hardware can be extended
to those based on quantum circuits and automata.
- Quantum information theory and quantum information science including error correction, teleportation,
encryption/decryption, security, complexity theory, etc.
- Quantum game theory, applications of quantum games, and potential relations to evolution.
- 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 Artificial Intelligence,
Multimedia and Robotics, which is obviously related to evolution models.
- Quantum entanglement.
- Quantum probability.
Please refer to the WCCI 2012 web site for updated information.
|Paper Submission:||extended to January 18, 2012|
|Acceptance Notification:||February 20, 2012|
|Final Manuscript Due:||April 2, 2012|
|Early Registration:||April 2, 2012|
|Conference Dates:||June 10-15, 2012|
Manuscripts should be prepared according to the standard format and page limit of regular papers specified in WCCI/CEC 2012. For paper preparation instructions, please see http://www.ieee-wcci2012.org/ieee-wcci2012/index.php?option=com_content&view=article&id=58&Itemid=67.
To submit, visit http://ieee-cis.org/conferences/cec2012/upload.php
and in the "Main research topic" select "S11. Quantum Computing and Evolutionary Computation".
Special Session Organizers
- William N. N. Hung
- Synopsys Inc.,
Mountain View, California, USA
- Marek Perkowski
- Department of Electrical and Computer Engineering,
Portland State University,
Portland, Oregon, USA
- Hanwu Chen
- Department of Computer Science,
- Fabrizio Lombardi, Northeastern University, USA
- Faisal Shah Khan, Khalifa University, UAE
- Gerhard Dueck, University of New Brunswick, Canada
- Guowu Yang, University of Electronic Science and Technology of China
- Hanwu Chen, Southeast University, China
- Jacob Biamonte, National University of Singapore, Singapore
- Marek Perkowski, Portland State University, USA
- Martin Lukac, Tohoku University, Japan
- Mitch Thornton, Southern Methodist University, USA
- Pawel Kerntopf, Warsaw University of Technology, Poland
- Rodney Van Meter, Keio University, Japan
- Rolf Drechsler, University of Bremen, Germany
- William N. N. Hung, Synopsys Inc., USA
- Xiaoyu Song, Portland State University, USA
- Yun Shang, Chinese Academy of Sciences, China
- Zairong Xi, Chinese Academy of Sciences, China