Speed-up Quantum Perceptron via Shortcuts to Adiabaticity
- URL: http://arxiv.org/abs/2003.09938v3
- Date: Sun, 22 Aug 2021 08:26:56 GMT
- Title: Speed-up Quantum Perceptron via Shortcuts to Adiabaticity
- Authors: Yue Ban, Xi Chen, E. Torrontegui, E. Solano and J. Casanova
- Abstract summary: We propose a speed-up quantum perceptron where a control field on the perceptron is inversely engineered leading to a rapid nonlinear response with a sigmoid activation function.
This results in faster overall perceptron performance compared to quasi-adiabatic protocols.
- Score: 3.53163169498295
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The quantum perceptron is a fundamental building block for quantum machine
learning. This is a multidisciplinary field that incorporates abilities of
quantum computing, such as state superposition and entanglement, to classical
machine learning schemes. Motivated by the techniques of shortcuts to
adiabaticity, we propose a speed-up quantum perceptron where a control field on
the perceptron is inversely engineered leading to a rapid nonlinear response
with a sigmoid activation function. This results in faster overall perceptron
performance compared to quasi-adiabatic protocols, as well as in enhanced
robustness against imperfections in the controls.
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