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Quantum neural computation of entanglement is robust to noise and decoherence

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 نشر من قبل Elizabeth Behrman
 تاريخ النشر 2015
  مجال البحث فيزياء
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In previous work, we have proposed an entanglement indicator for a general multiqubit state, which can be learned by a quantum system, acting as a neural network. The indicator can be used for a pure or a mixed state, and it need not be close to any particular state; moreover, as the size of the system grows, the amount of additional training necessary diminishes. Here, we show that the indicator is stable to noise and decoherence.



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