Quantum approximate optimization for hard problems in linear algebra
The quantum approximate optimization algorithm (QAOA) by Farhi et al. is a quantum computational framework for solving quantum or classical optimization tasks. Here, we explore using QAOA for binary linear least squares (BLLS); a problem that can serve as a building block of several other hard probl...
Enregistré dans:
Auteur principal: | |
---|---|
Format: | article |
Langue: | EN |
Publié: |
SciPost
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/f4cd35313c20476585a2eeafa2ddea53 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Soyez le premier à ajouter un commentaire!