blog_posts: 0fdee5d646
This data as json
id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#59-2096 | 2022-04-21 15:54:19 | Combinatorial Optimization with Physics-Inspired Graph Neural Networks | https://aws.amazon.com/blogs/quantum-computing/combinatorial-optimization-with-physics-inspired-graph-neural-networks/ | Combinatorial optimization problems, such as the traveling salesman problem where we are looking for an optimal path with a discrete number of variables, are pervasive across science and industry. Practical (and yet notoriously challenging) applications can be found in virtually every industry, such as transportation and logistics, telecommunications, and finance. For example, optimization algorithms help [...] | https://d2908q01vomqb2.cloudfront.net/5a5b0f9b7d3f8fc84c3cef8fd8efaaa6c70d75ab/2022/04/20/GNNscover-300x225.png | 0fdee5d646 | Martin Schuetz, Kyle Brubaker, Helmut Katzgraber | 2022-04-26 22:35:35 | 21 Apr 2022 |
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