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Training Optimization for Gate-Model Quantum Neural Networks

Gate-based quantum computations represent an essential to realize near-term quantum computer architectures. A gate-model quantum neural network (QNN) is a QNN implemented on a gate-model quantum computer, realized via a set of unitaries with associated gate parameters. Here, we define a training opt...

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書目詳細資料
發表在:Sci Rep
Main Authors: Gyongyosi, Laszlo, Imre, Sandor
格式: Artigo
語言:Inglês
出版: Nature Publishing Group UK 2019
主題:
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6722103/
https://ncbi.nlm.nih.gov/pubmed/31481737
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-48892-w
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