Thursday, August 10, 201712:30 PM - 1:30 PMT-DO Conference Room (03-123-121)|
Programming quantum computers using machine learning
Elizabeth BehrmanWichita State University
For decades now demonstration of truly useful large scale quantum computing, with all its tantalizing possibilities, has been "ten years" away. There are four major obstacles: algorithm construction; scaleup; noise; and decoherence. In this talk I will show that a quantum system, acting as a neural network, can construct its own algorithms by learning; that scaleup can be accomplished through "bootstrapping"; and that these systems, and their learning algorithms, are robust to noise and decoherence.
Host: Yigit Subasi