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Lloyd's [paper](https://arxiv.org/pdf/1901.03431.pdf) uses a rather unique parameterization. A tutorial using a more canonical unitary parameterization as is used in eq(4) of [Quantum generalization …
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In order to more easily judge how Fortran developers actually use Fortran in real production codes (this can be useful for issues like #25), let's maintain a list of popular open source Fortran projec…
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#### Issue description
When a `pennylane.numpy.tensor` is passed to a QNode as a keyword argument, it is considered as a non-differentiable parameter. Unlike in the case when it is handled as a diffe…
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## Brief project description
UNIQO is a collection of mainly python modules (and some accessory bash scripts) that implement machine learning tasks with artificial neural networks using the Keras lib…
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I am trying to create an adversarial quantum neural networks containing two hybrid quantum classical NN model. In the first model, a classical NN is going to find the parameters for a parameterized qu…
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When two lines have the same "title" AND "year" AND "authors" keep only one (the first? the most complete?)
Below the three key in ISI and SCOPUS:
- title --> ISI = TI / Scopus = Title
- year -->…
tommv updated
3 years ago
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When I run the function_fitting.py & fraud_detection.py, there was a same error
TypeError: backend must be a string or a BaseBackend instance.
When the code runs to this line
`eng, q = sf.Engine(1…
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## ❓ Questions & Help
Hi, this is more of a theoretical question. The GAT paper mentions that there are some graph convolutional layers that depend on structural information of the graph they will …
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Hi,
First of all I'd like to thank you for the wonderful work you put forward with Jax.
We recently started using it in [netket](https://github.com/netket/netket), a package for solving quantum-man…
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I found some unrelated papers in this list, such as:
Non-local Neural Networks. Wang, Xiaolong and Girshick, Ross and Gupta, Abhinav and He, Kaiming. CVPR 2018.
Neural Message Passing for Quant…