Code for running the Quantum Neuron Born Machine (QNBM) from [Gili. et al Introducing Non-Linear Activations into Quantum Generative Models. 2022. doi: 10.48550/ARXIV.2205.14506] on the IBM Statevector Simulator as well as Quantinuum's H1 Hardware via Microsoft Q#.

2023年2月1日 · In this work, we make a considerable leap forward by providing an extensive deep dive into the QNBM's potential as a generative model. We first demonstrate that the QNBM's network representation makes it non-trivial to be classically efficiently simulated.

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In this work, we make a considerable leap forward by providing an extensive deep dive into the QNBM’s potential as a generative model. We first demonstrate that the QNBM’s network representation makes it non-trivial to be classically efficiently simulated.

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We see that the QNBM outperforms the RBM by a 75.3x improvement factor. The recently proposed Quantum Neuron Born Machine (QNBM) has demonstrated quality initial performance as the first quantum...

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Code for running the Quantum Neuron Born Machine (QNBM) from [Gili. et al Introducing Non-Linear Activations into Quantum Generative Models. 2022. doi: 10.48550/ARXIV.2205.14506] on the IBM Statevector Simulator as well as Quantinuum's H1 Hardware via Microsoft Q#.

Quantum algorithms can enhance machine learning in different aspects. In 2014, Rebentrost $et~al.$ constructed a least squares quantum support vector machine (LS-QSVM), in which the Swap Test plays...