Error mitigation with Clifford quantum-circuit data
Achieving near-term quantum advantage will require accurate estimation of quantum observables despite significant hardware noise. For this purpose, we propose a novel, scalable error-mitigation method that applies to gate-based quantum computers. The method generates training data $\{X_i^{\text{nois...
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Autores principales: | Piotr Czarnik, Andrew Arrasmith, Patrick J. Coles, Lukasz Cincio |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2021
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Acceso en línea: | https://doaj.org/article/d13fd1910b05422d996c43b26d729e77 |
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