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Hi
Have you ever considered development of a module to handle Distributed Quantum Computing(DQC) on Qfaas over the classical Internet?
Since the computation paradigm of the current Quantum Cloud pro…
mopoa updated
2 weeks ago
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Currently, it is possible to create a `Chain` ansatz that contains tensors with inconsistent dimension sizes between tensors. In my opinion, there should be an error if one tries to create a `Quantum`…
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### Model Name
DelFTa quantum mechanical properties prediction
### Model Description
DelFTa predicts quantum-mechanical properties of drug-like molecules. It uses 3D message-passing neural networks…
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Here are some references:
1. Measuring orbital interaction using quantum information theory (https://arxiv.org/abs/cond-mat/0508524)
2. Simulating Strongly Correlated Quantum Systems with Tree Tenso…
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Bug bounty logistic details (click to expand)
To claim exclusive time to work on this bounty either post a comment here or message [skrastanov@umass.edu](mailto:skrastanov@umass.edu) with:
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server and addons: https://prnt.sc/ZFTZichJ-X4i
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this is the video of all the items taken by the players who abused this dupe: https://www.yout…
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# Description
lambeq provides a large number of models and trainers, covering a broad range of [use cases](https://cqcl.github.io/lambeq/use-cases.html), both quantum and "classical", where the lat…
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# Abstract
Are neural networks applied to quantum computing? to do classification, or other things. This project aims to try the basic concepts of complex neural networks in quantum computing usi…
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silky updated
7 years ago
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Please add explicit support for graph-structured data including
- quantum graph kernels
- quantum graph neural networks, particularly quantum graph convolutional networks