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Quantum Neural Evolution (QNE)

QUANTUM NEURAL EVOLUTION (QNE)

My first PhD student ZHANG Zijun (Utah State University, Utah, USA, 2005) and I worked on the theory of using quantum computing techniques to evolve neural networks. I still feel these ideas are ahead of their time. They merge three different fields, quantum computing, genetic algorithms, and neural networks. When quantum computers finally arrive, they will be used to evolve neural nets to help build artificial brains far more quickly than using traditional (one instruction at a time) classical  computers.

You can download/view this PhD thesis (about 200 pages) from (here) which was scanned and uploaded in April 2017.

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