Qubit Inspired Neural Network towards Its Practical Applications

Neural networks have attracted much interest in the two decades for their potential to describe brain function realistically. Quantum computing is a likely candidate for improving the computational efficiency of neural networks, since it has been very successful in doing so for a selected set of computational problems. We have proposed qubit neural network that is a multilayered neural network composed of qubit inspired neurons with quantum back propagation learning and confirmed the performance concerning basic benchmark problems such as 4-bit and 6-bit parity check problems. In this paper, we examine this qubit neural network through more practical problems, for example, the Iris data classification and the night vision processing.