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Finding Broken Gates in Quantum Circuits–Exploiting Hybrid Machine Learning

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Abstract

We demonstrate a procedure to diagnose where gate faults occur in a circuit by using a hybridized quantum-and-classical machine-learning technique, using a diagnostic circuit and selected inputs. We numerically demonstrate an accuracy of over 90%.

© 2020 The Author(s)

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More Like This
A quantum autoencoder: using machine learning to compress qutrits

Alex Pepper, Nora Tischler, and Geoff J. Pryde
C12C_5 Conference on Lasers and Electro-Optics/Pacific Rim (CLEOPR) 2020

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

Laszlo Gyongyosi and Sandor Imre
FTh1B.3 Frontiers in Optics (FiO) 2018

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Zhaxylyk Kudyshev, Simeon Bogdanov, Theodor Isacsson, Alexander V. Kildishev, Alexandra Boltasseva, and Vladimir M. Shalaev
FM4C.4 CLEO: QELS_Fundamental Science (CLEO_QELS) 2020

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