Seth Lloyd, Christian Weedbrook [1804.09139] Quantum generative adversarial learning Quantum generative adversarial networks [1804.08641] Quantum generative adversarial networks Benedetti, M., Grant, E., Wossnig, L., & Severini, S. [1806.00463] Adversarial quantum circuit learning for pure state approx...
[4] Huang, H. L., Du, Y., Gong, M., Zhao, Y., Wu, Y., Wang, C., ... & Pan, J. W. (2021). Experimental quantum generative adversarial networks for image generation.Physical Review Applied,16(2), 024051. [5] McC...
Generative adversarial networks (GANs) represent a powerful tool for classical machine learning: a generator tries to create statistics for data that mimics those of a true data set, while a discriminator tries to discriminate between the true and fake data. The learning process for generator and ...
Generative Adversarial Networks The generative models considered in this work, GANs,10,11employ two neural networks - a generator and a discriminator - to learn random distributions that are implicitly given by training data samples. Originally, GANs were used in the context of image generation and ...
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的模型, 证明了在比特消耗以及时间复杂度等方面, QGAN比经典GAN具有更好的性能表现. QGAN在金融预测、图像生成以及态制备等应用领域展现出了显著的优势[5-8]. 例如, 在2019年, ...
The researchers will use a branch of artificial intelligence known as quantum generative adversarial networks (GANs) to explore chemical compounds on Noisy Intermediate Scale Quantum (NISQ) computers. GANs use two networks — a generator and a discriminator — in order to model data. Th...
创建者:dye0ksua 收藏 Quantum Generative Adversarial Networks (QGANs) 135播放 自存档 | Daily Life With XWLW EP2:放学后的练歌房 20播放 吴恩达《如何构建、评估和迭代LLM代理|How to Build, Evaluate, and Iterate on LLM Agents》中英字幕 2044播放 【TNTC】2015 TOP崔胜铉29岁生日快乐 2718播放1...
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...
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 ...
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 ...