Haozhen Situ, Zhimin He, Lvzhou Li, Shenggen Zheng [1807.01235] Quantum generative adversarial network for generating discrete data Jinfeng Zeng,Yufeng Wu,Jin-Guo Liu,Lei Wang,Jiangping Hu [1808.03425] Learning and Inference on Generative Adversarial Quantum Circuits 理论基础 下面简单介绍下第三篇工...
(QML)is one of the most promising quantum algorithms with the rapid development of quantum technology.Specifically,Quantum generative adversarial network(QGAN)has shown the potential exponential quantum speedups in terms of performance.Meanwhile,QGAN also exhibits some problems,such as barren plateaus,...
(2021). Experimental quantum generative adversarial networks for image generation.Physical Review Applied,16(2), 024051. [5] McClean, Jarrod R.,et al."Barren plateaus in quantum neural network training landscapes."Nature communications9.1 (2018): 1-6. [6] https://github.com/yuxuan-du/...
Generative Adversarial Network. First, the generator creates data samples which shall be indistinguishable from the training data. Second, the discriminator tries to differentiate between the generated samples and the training samples. The generator and discriminator are trained alternately. Full size image...
Lloyd and Weedbrook as well as Dallaire-Demers and Killoran derive the theoretical underpinnings of quantum generative adversarial networks15,16. Blance and Spannowsky propose a variational quantum classifier for use in high energy physics applications17. Shingu et al. propose a variational quantum ...
生成对抗网络(generative adversarial networks, GAN)是经典深度学习的强大工具, 由生成器和鉴别器构成[1]. 生成器和鉴别器经过一个对抗博弈的学习过程, 最终达到一个纳什平衡点. 量子生成对抗网络(quantum generative adversarial networks, QGAN)是经典GAN的量子版本[2-4].在2018年, Lloyd等[2]提出了3种QGAN的...
For the description of the quantum generative adversarial learning method, see [378]. A scheme on the classification with gate-model quantum neural networks can be found in [379]. Read more View article Preliminaries Mingsheng Ying, in Foundations of Quantum Programming, 2016...
Theqiskit.mlpackage simply contains sample datasets at present.qiskit.aquahas some classification algorithms such as QSVM and VQC (Variational Quantum Classifier), where this data can be used for experiments, and there is also QGAN (Quantum Generative Adversarial Network) algorithm. ...
In generative adversarial networks a generator entity creates statistics for data that mimics those of a valid data set, and a discriminator unit distinguishes between the valid and non-valid data. As a main conclusion of the work, a quantum computer allows us to realize quantum adversarial ...
Quantum generative adversarial networks for learning and loading random distributions. npj Quant. Inf. 5, 1–9 (2019). Google Scholar Romero, J., Olson, J. P. & Aspuru-Guzik, A. Quantum autoencoders for efficient compression of quantum data. Quant. Sci. Technol. 2, 045001 (2017). ...