解读 Gaussian Boson Sampling for finding dense subgraphs

时间 2021-01-11

标签论文解读繁體版

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上篇博文，我们介绍了Arrazola在2018年发表的《Quantum approximate optimization with Gaussian boson sampling》文章，文中提到：如何利用Gaussian boson sampling 去加速随机优化算法、模拟退火算法和贪婪算法去求解Max-Hafinian问题。其实，在同时，Arrazola又发表了一篇《Using Gaussi

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1. 解读 Gaussian Boson sampling for perfect matchings of arbitrary graphs
2. Focal Loss for Dense Object Detection解读
3. 论文解读Focal Loss for Dense Object Detection
4. [论文解读] DSD -- Dense-Sparse-Dense Training for Neural Network
5. 论文浏览(36) Finding Action Tubes with a Sparse-to-Dense Framework
6. Focal Loss for Dense Object Detection
7. 论文解读《Almost Unsupervised Learning for Dense Crowd Counting》AAAI2019
8. 论文解读《CrowdNet: A Deep Convolutional Network for Dense Crowd Counting》ACMM-MM2016
9. 论文阅读笔记：Scheduled Sampling for Transformers
10. 【文章阅读】【超解像】--Residual Dense Network for Image Super-Resolution

>>更多相关文章<<