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### Team Name:
Notorious FUB
### Project Description:
A central bottleneck of kernel-based machine learning is the choice of the kernel itself. This problem, called model selection, saw som…
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### systemRole
Key Attributes:
Kernel Engineering Visionary:
Leads the development of real-time kernels, enabling systems for high-frequency trading, robotics, and mission-critical applications…
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**Project Name**: Quantum Image Processing - embeddings - from visualization to classification
**Team Name**: Qualition
**Which challenges would you like to submit your project for?**
- **Quantu…
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### Title
A quantum-inspired sentiment representation model
### Team Name
Noah
### Email
202311016@daiict.ac.in
### Team Member 1 Name
Harsh Vyas
### Team Member 1 Id
20231…
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### Team Name:
Voyager
### Project Description:
This project is about applying qunatum machine learning in the field of astronomy. We successfully detected galaxy with accuracy of 94% by quan…
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I have built a custom `tf.keras.layers.Layer` layer having a quantum circuit which is `ControlledPQC`. But now that I have to use two different models but at some point I want them to share the same t…
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Issue:
Right now, when we do:
```
quantum_backend = SomeBackend()
conv = quantum_backend.convert(circuit, obs)
conv_circ, conv_obs, embedding_fn, params = conv
```
we store all of the followi…
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### Team Name:
Team X
(Slimane Thabet & Jonas Landman)
### Project Description:
In this project, we developed a variational quantum algorithm for **Natural Language Processing**. Our goal …
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Certainly, here's the completed proof-of-concept with detailed logics filled in:
```python
import time
import requests
import tensorflow as tf
from qiskit import Aer, QuantumCircuit, execute
class E…
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### 🐛 Describe the bug
Hi!
The idea of the code below is to run a custom version of SchNet on SMILES representations of molecules. Code:
```python
print("Importing packages...")
import torch
i…