Probabilistic tensor optimization of quantum circuits for the max-$k$-cut problem

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Paradezhenko, G. V., Pervishko, A. A., Yudin, D.
Format: Preprint
Publié: 2023
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866916110661582848
author Paradezhenko, G. V.
Pervishko, A. A.
Yudin, D.
author_facet Paradezhenko, G. V.
Pervishko, A. A.
Yudin, D.
contents We propose a technique for optimizing parameterized circuits in variational quantum algorithms based on the probabilistic tensor sampling optimization. This method allows one to relax random initialization issues or heuristics for generating initial guess of variational parameters, and can be used to avoid local minima. We illustrate our approach on the example of the quantum approximate optimization algorithm (QAOA) applied to the max-$k$-cut problem based on the binary encoding efficient in the number of qubits. We discuss the advantages of our technique for searching optimal variational parameters of QAOA circuits in comparison to classical optimization methods.
format Preprint
id arxiv_https___arxiv_org_abs_2310_10360
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Probabilistic tensor optimization of quantum circuits for the max-$k$-cut problem
Paradezhenko, G. V.
Pervishko, A. A.
Yudin, D.
Quantum Physics
We propose a technique for optimizing parameterized circuits in variational quantum algorithms based on the probabilistic tensor sampling optimization. This method allows one to relax random initialization issues or heuristics for generating initial guess of variational parameters, and can be used to avoid local minima. We illustrate our approach on the example of the quantum approximate optimization algorithm (QAOA) applied to the max-$k$-cut problem based on the binary encoding efficient in the number of qubits. We discuss the advantages of our technique for searching optimal variational parameters of QAOA circuits in comparison to classical optimization methods.
title Probabilistic tensor optimization of quantum circuits for the max-$k$-cut problem
topic Quantum Physics
url https://arxiv.org/abs/2310.10360