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...

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Auteur principal: Ajinkya Borle, Vincent E. Elfving, Samuel J. Lomonaco
Format: article
Langue:EN
Publié: SciPost 2021
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Accès en ligne:https://doaj.org/article/f4cd35313c20476585a2eeafa2ddea53
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