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Experimental learning of quantum states
The number of parameters describing a quantum state is well known to grow exponentially with the number of particles. This scaling limits our ability to characterize and simulate the evolution of arbitrary states to systems, with no more than a few qubits. However, from a computational learning theo...
Enregistré dans:
| Publié dans: | Sci Adv |
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| Auteurs principaux: | , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Association for the Advancement of Science
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6440753/ https://ncbi.nlm.nih.gov/pubmed/30944851 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1126/sciadv.aau1946 |
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