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Published on: June 8, 2018
Variational quantum support vector machine based on [Formula: see text] matrix expansion and variational
1Department of Applied Physics, University of Tokyo, Hongo 7-3-1, Tokyo, 113-8656 Japan.
Abstract:
We analyze a binary classification problem by using a support vector machine based on variational quantum-circuit model. We propose to solve a linear equation of the support vector machine by using a [Formula: see text] matrix expansion. In addition, it is shown that an arbitrary quantum state is prepared by optimizing a universal quantum circuit representing an arbitrary [Formula: see text] based on the steepest descent method. It may be a quantum generalization of Field-Programmable-Gate Array (FPGA).
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