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# Description
Write the Quantum Neural Network section for the Qiskit Textbook Quantum Machine Learning chapter. This will comprise of 2-3 pages, introducing quantum neural networks, building one fro…
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### Description
Looking into classical diffusion mri techniques to identify challenges for classical systems and identify how quantum computation techniques and algorithms might be applied to solve t…
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### What should we add?
I would like to discuss improving the way bounds are handled and settle/implement such an improvment:
For variational algorithms, like `VQE`, that use an optimizer, while…
ElePT updated
5 months ago
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https://qiskit.org/ecosystem/machine-learning/tutorials/01_neural_networks.html
Check if QNN can be used for classification of signals.
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### Description
This project aims at investigating various factors that can affect performance of QML models. We start from a choice of a small dataset and train a classical model as a reference ba…
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https://docs.quantum.ibm.com/announcements/product-updates/2024-02-14-qiskit-runtime-primitives-update
> **beginning 1 March 2024**, Qiskit Runtime will require that circuits and observables are tr…
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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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# Abstract
Let's try and explore Hybrid quantum-classical Neural Networks with PyTorch and Qiskit:
https://qiskit.org/textbook/ch-machine-learning/machine-learning-qiskit-pytorch.html
Examples:
…
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I am working on QNN model. My algorithm works fine with "default.qubit" device. However, it got issues when I try with 3rd-party device (e.g. qiskit IBMQ and qulacs). I appreciate any help and suggest…
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# Abstract
Develop the image classifier based on Quantum Machine Learning
# Description
We will develop the MNIST image classifier using Qiskit Quantum Machine Learning.
MNIST images are going …