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# Abstract
You hear a lot about how great machine learning is, and about how AI will change the world this century, but what you don't tend to hear so much about are the *very* serious security vulne…
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I think that a function to generate parameterized GGM matrices will be useful especially on TFQ for the PQCs (they are used in [Quantum Convolutional Neural Networks (arXiv:1810.03787v2)](https://arxi…
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I am using `TFQ` for executing of quantum neural networks, but as I need it to be faster, I am trying to run it on multiple GPUs. Has `tensorflow-quantum` team did something regarding parallel computi…
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**Is your feature request related to a problem? Please describe.**
We have a requirement to use Faster Amplitude Estimation as part of code being developed regarding training a Quantum Neural Network…
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## Issue Description
I think it will be great if we have blocks to easily construct QCNN, which is a special but important category of quantum neural networks requiring mid-circuit measurements.
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#Team name :
the chosen ones
# Project Description:
building a hand written digits recognition neural network using classical computing and then quantum computing on Qiskit, and see what the…
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### Team Name:
Coherence
### Project Description:
#### Quantum Neural Network-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling
Th…
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## 🚀 Feature
Currently you cannot use digits in names of tensors. Please allow digits, so that `torch.randn(64, 64, 4, 4, names=("height", "width", "channel_0", "channel_1"))` works rather than thr…
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paddlepaddle: 2.1.2
paddle-quantum: 2.1.2
system: win10
报错:
Traceback (most recent call last):
File "D:\anaconda\envs\paddle21\lib\site-packages\psi4\__init__.py", line 55, in
from . im…
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Some types of circuits rely on tuning parameters but keeping the overall architecture intact, for large circuits it would be more convenient to have ops which can read from a RWLock protected variable…