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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| Format: | article |
| Langue: | EN |
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SciPost
2021
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| Accès en ligne: | https://doaj.org/article/f4cd35313c20476585a2eeafa2ddea53 |
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