Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator

Quantum computers and simulators may offer significant advantages over their classical counterparts, providing insights into quantum many-body systems and possibly improving performance for solving exponentially hard problems, such as optimization and satisfiability. Here, we report the implementati...

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Bibliografiset tiedot
Julkaisussa:Proc Natl Acad Sci U S A
Päätekijät: Pagano, Guido, Bapat, Aniruddha, Becker, Patrick, Collins, Katherine S., De, Arinjoy, Hess, Paul W., Kaplan, Harvey B., Kyprianidis, Antonis, Tan, Wen Lin, Baldwin, Christopher, Brady, Lucas T., Deshpande, Abhinav, Liu, Fangli, Jordan, Stephen, Gorshkov, Alexey V., Monroe, Christopher
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: National Academy of Sciences 2020
Aiheet:
Physical Sciences
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7568299/
https://ncbi.nlm.nih.gov/pubmed/33024018
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.2006373117
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