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Quantum data learning for quantum simulations in high-energy physics

Quantum machine learning with parametrised quantum circuits has attracted significant attention over the past years as an early application for the era of noisy quantum processors. However, the possibility of achieving concrete advantages over classical counterparts in practical learning tasks is ye...

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Bibliografische gegevens
Hoofdauteurs: Lento Nagano, Alexander Miessen, Tamiya Onodera, Ivano Tavernelli, Francesco Tacchino, Koji Terashi
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: American Physical Society 2023-12-01
Reeks:Physical Review Research
Online toegang:http://doi.org/10.1103/PhysRevResearch.5.043250
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