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arXiv · 1510.09173

Quantum neural computation of entanglement is robust to noise and decoherence

E. C. Behrman·N. H. Nguyen·J. E. Steck·M. McCann
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Abstract

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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E. C. Behrman, N. H. Nguyen, J. E. Steck, M. McCann. 2015-10-30. Quantum neural computation of entanglement is robust to noise and decoherence. https://arxiv.org/abs/1510.09173

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