Prediction and real-time compensation of qubit decoherence via machine learning.
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Advanced-Retarded Differential Equations in Quantum Photonic Systems.Quantum machine learning.Machine learning for quantum physics.Application of optimal band-limited control protocols to quantum noise sensing.Programming languages and compiler design for realistic quantum hardware.Multiparameter optimisation of a magneto-optical trap using deep learning
P2860
Prediction and real-time compensation of qubit decoherence via machine learning.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 16 January 2017
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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Prediction and real-time compensation of qubit decoherence via machine learning.
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Prediction and real-time compensation of qubit decoherence via machine learning.
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Prediction and real-time compensation of qubit decoherence via machine learning.
@en
Prediction and real-time compensation of qubit decoherence via machine learning.
@nl
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Prediction and real-time compensation of qubit decoherence via machine learning.
@en
Prediction and real-time compensation of qubit decoherence via machine learning.
@nl
P2093
P2860
P921
P356
P1476
Prediction and real-time compensation of qubit decoherence via machine learning
@en
P2093
Jarrah Sastrawan
Sandeep Mavadia
Stephen Dona
Virginia Frey
P2860
P2888
P356
10.1038/NCOMMS14106
P407
P577
2017-01-16T00:00:00Z
P698
P818
1604.03991