Constrained and Vanishing Expressivity of Quantum Fourier Models

Fuente: arXiv
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Autores principales: Mhiri, Hela, Monbroussou, Leo, Herrero-Gonzalez, Mario, Thabet, Slimane, Kashefi, Elham, Landman, Jonas
Formato: Preprint
Publicado: 2024
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author Mhiri, Hela
Monbroussou, Leo
Herrero-Gonzalez, Mario
Thabet, Slimane
Kashefi, Elham
Landman, Jonas
author_facet Mhiri, Hela
Monbroussou, Leo
Herrero-Gonzalez, Mario
Thabet, Slimane
Kashefi, Elham
Landman, Jonas
contents In this work, we highlight an unforeseen behavior of the expressivity of Parameterized Quantum Circuits (PQCs) for machine learning. A large class of these models, seen as Fourier Series which frequencies are derived from the encoding gates, were thought to have their Fourier coefficients mostly determined by the trainable gates. Here, we demonstrate a new correlation between the Fourier coefficients of the quantum model and its encoding gates. In addition, we display a phenomenon of vanishing expressivity in certain settings, where some Fourier coefficients vanish exponentially when the number of qubits grows. These two behaviors imply novel forms of constraints which limit the expressivity of PQCs, and therefore imply a new inductive bias for Quantum models. The key concept in this work is the notion of a frequency redundancy in the Fourier series spectrum, which determines its importance. Those theoretical behaviours are observed in numerical simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2403_09417
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Constrained and Vanishing Expressivity of Quantum Fourier Models
Mhiri, Hela
Monbroussou, Leo
Herrero-Gonzalez, Mario
Thabet, Slimane
Kashefi, Elham
Landman, Jonas
Quantum Physics
In this work, we highlight an unforeseen behavior of the expressivity of Parameterized Quantum Circuits (PQCs) for machine learning. A large class of these models, seen as Fourier Series which frequencies are derived from the encoding gates, were thought to have their Fourier coefficients mostly determined by the trainable gates. Here, we demonstrate a new correlation between the Fourier coefficients of the quantum model and its encoding gates. In addition, we display a phenomenon of vanishing expressivity in certain settings, where some Fourier coefficients vanish exponentially when the number of qubits grows. These two behaviors imply novel forms of constraints which limit the expressivity of PQCs, and therefore imply a new inductive bias for Quantum models. The key concept in this work is the notion of a frequency redundancy in the Fourier series spectrum, which determines its importance. Those theoretical behaviours are observed in numerical simulations.
title Constrained and Vanishing Expressivity of Quantum Fourier Models
topic Quantum Physics
url https://arxiv.org/abs/2403.09417