Simulating Quantum Circuits by Model Counting

Fuente: arXiv
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Autori principali: Mei, Jingyi, Bonsangue, Marcello, Laarman, Alfons
Natura: Preprint
Pubblicazione: 2024
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author Mei, Jingyi
Bonsangue, Marcello
Laarman, Alfons
author_facet Mei, Jingyi
Bonsangue, Marcello
Laarman, Alfons
contents Quantum circuit compilation comprises many computationally hard reasoning tasks that nonetheless lie inside #$\mathbf{P}$ and its decision counterpart in $\mathbf{PP}$. The classical simulation of general quantum circuits is a core example. We show for the first time that a strong simulation of universal quantum circuits can be efficiently tackled through weighted model counting by providing a linear encoding of Clifford+T circuits. To achieve this, we exploit the stabilizer formalism by Knill, Gottesmann, and Aaronson and the fact that stabilizer states form a basis for density operators. With an open-source simulator implementation, we demonstrate empirically that model counting often outperforms state-of-the-art simulation techniques based on the ZX calculus and decision diagrams. Our work paves the way to apply the existing array of powerful classical reasoning tools to realize efficient quantum circuit compilation; one of the obstacles on the road towards quantum supremacy.
format Preprint
id arxiv_https___arxiv_org_abs_2403_07197
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Simulating Quantum Circuits by Model Counting
Mei, Jingyi
Bonsangue, Marcello
Laarman, Alfons
Quantum Physics
Logic in Computer Science
Quantum circuit compilation comprises many computationally hard reasoning tasks that nonetheless lie inside #$\mathbf{P}$ and its decision counterpart in $\mathbf{PP}$. The classical simulation of general quantum circuits is a core example. We show for the first time that a strong simulation of universal quantum circuits can be efficiently tackled through weighted model counting by providing a linear encoding of Clifford+T circuits. To achieve this, we exploit the stabilizer formalism by Knill, Gottesmann, and Aaronson and the fact that stabilizer states form a basis for density operators. With an open-source simulator implementation, we demonstrate empirically that model counting often outperforms state-of-the-art simulation techniques based on the ZX calculus and decision diagrams. Our work paves the way to apply the existing array of powerful classical reasoning tools to realize efficient quantum circuit compilation; one of the obstacles on the road towards quantum supremacy.
title Simulating Quantum Circuits by Model Counting
topic Quantum Physics
Logic in Computer Science
url https://arxiv.org/abs/2403.07197