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### Team Name:
CCH
### Project Description:
The emerging field of hybrid quantum-classical algorithms joins CPUs and QPUs to speed-up/improve specific calculations within a classical algorithm.…
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**Project Name:**
Classification of Brain Scans with Hybrid Quantum-Classical Convolutional Neural Networks
**Team Name:**
QmlCase
**Which challenges would you like to submit for?**
- Hybrid …
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# Abstract
In recent years, the application of machine learning and deep learning to classical cryptanalysis is an active research field.
In this project, we perform quantum cryptanalysis that combi…
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### Team Name:
Pratjz
### Project Description:
In this project, we will use Quantum Neural Network along with classical layers to create Hybrid Neural network using Pennylane & Tensorflow &…
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* [Link](https://journals.aps.org/prx/pdf/10.1103/PhysRevX.8.011006)
* Title: Neural-Network Quantum States, String-Bond States, and Chiral Topological States
* Keywords (optional):
* Authors…
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Hi,
I wanted to inquire about the availability of the code for training models in Paddle-quantum, specifically related to medical image classification as found in this link: https://github.com/Paddle…
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As user, I organize my PDFs in folders. Example:
```
Related_Work_Collection
├── Quantum_Computing
│ ├── Algorithms
│ │ ├── Quantum_Factorization_Overview.pdf
│ │ └── Grover_Search_I…
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# Question : Implement a program for real-time recommendation systems based on quantum deep reinforcement learning with recurrent neural networks.
Path to create the file : `004ENw/DRqQ0F.cs`
To as…
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### Feature details
Hi Pennylane developers! I'm opening this feature request to propose the implementation of the novel ***Quantum Dropout technique*** in Pennylane. This feature request is motivate…
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### Discussed in https://github.com/mgg39/Quantum-tech-papers/discussions/39
Originally posted by **mgg39** September 9, 2022
Perhaps a classification of papers by topic in additional branche…
mgg39 updated
7 months ago