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### Description
Quantum machine learning is gaining momentum and becoming more and more popular across machine learning researchers. This project aims facilitating smooth transition from classical …
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# Abstract
Use machine learning to place gates that solve a simple problem (like a sum, substract, etc.), so the final quantum circuit is optimized and done by the computer insted of a human.
# Me…
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### Description
To use different quantum computing techniques focused on Machine Learning, as a principal base for the quantum autoencoder to be able to reduce data in a medical dataset, also to …
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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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# Why measuring performance is our biggest blind spot in quantum machine learning
Why measuring performance is our biggest blind spot in quantum machine learning | Have a look at the following abstra…
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### URL, if applicable
~In tutorial section~
~https://learning.quantum.ibm.com/catalog/tutorials~
In Transpile section https://docs.quantum.ibm.com/transpile
### Describe the new content you…
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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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Project Name:
Quantum Neural Network Autoencoder
Team Name:
Quantum Synapse
Which challenges would you like to submit your project for?
Hybrid Quantum-Classical Computing Challenge
TBD
Pr…
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Hi, I'm a beginner of quantum computing. I don't understand the function of those quantum logic gates (especially those with angles), and I don't know how to implement the current machine learning alg…
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### Team Name:
Q-Reply
### Project Description:
In the latest years more and more attention has been drawn to the application of Quantum Computing to Machine Learning. Classical computers a…