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Fermionic Machine Learning

Published • Sep 15, 2024
NobleIDNI9P19W47R18S72
Authors:
Jérémie Gince
,
Jean-Michel Pagé
,
Marco Armenta

Abstract

We introduce fermionic machine learning (Fer-miML), a machine learning framework based on fermionic quan-tum computation. FermiML models are expressed in terms of parameterized matchgate circuits, a restricted class of quantum circuits that map exactly to systems of free Majorana fermions. The Fermi...

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