Frontiers in Optics

Unsupervised Machine Learning Control of Quantum Gates in Gate-Model Quantum Computers

László Gyöngyösi, Sándor Imre

Published Jan 1, 2018• 2 citations

Abstract

The precise and stable working of quantum gates in quantum computers is essential for any quantum computations. We define a machine learning-based framework for the unsupervised control of entangled quantum gates in gate-model quantum computers.

DOI: 10.1364/fio.2018.fth1b.3

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