On the development of brain quantum-computer interfaces

Author

Kanas, Vasileios G. ; Karamitrou, Olga ; Sgarbas, Kyriakos N.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Patras, Patras, Greece

fYear

2014

Firstpage

239

Lastpage

242

Abstract

In this paper, we overview basic quantum machine learning algorithms and we highlight their potential application for rehabilitation brain computer interface systems. The paper provides a very brief introduction to basic quantum theory issues, such as quantum registers and quantum gates, as well as basic limitations of brain computer interface systems. Finally, we present references, ideas and research guidelines on how quantum theory can be used to deal with such limitations. Our ideas might result in "brain quantum-computer interfaces", as soon as quantum computers become widely available, resulting in real-time apparatus.

Keywords

brain-computer interfaces; handicapped aids; learning (artificial intelligence); patient rehabilitation; quantum computing; quantum gates; BCI; basic quantum machine learning algorithms; basic quantum theory issues; brain computer interface systems; brain quantum-computer interface development; quantum gates; quantum registers; rehabilitation brain computer interface systems; research guidelines; Bayes methods; Computers; Decision trees; Pattern recognition; Quantum computing; Quantum mechanics; Robots; Brain computer interface; brain quantum-computer interface; machine learning; quantum information processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on

Type

conf

DOI

10.1109/ICARCV.2014.7064311

Filename

7064311