Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

Quantum CNN

See original GitHub issue

What should we add?

I wanted to contribute a new tutorial on Quantum CNN using Pytorch Lightning. I am following this approach using jupyter notebooks.

The implementation uses sklearn 'blobs dataset to perform binary classification of 2-dimensional data points. It features Quantum convolution and pooling layers. Shall I create a pull request for this?

Issue Analytics

State:
Created a year ago
Comments:8 (6 by maintainers)

Top GitHub Comments

1reaction

dlaseckicommented, Jun 29, 2022

@dlasecki I tried to follow the code of the referenced tutorial in qiskit and used TorchConnector to train it, but the model does not seem to converge and it takes a lot of time to finish even a single epoch. Using GPU is not beneficial as the number of samples are less (~100) and even when I used GPU the per cent utilization was negligible.

In the torch connector tutorial, the authors use only 2 qubits when here using 16 qubits (images resized to 4 x 4) is taking quite a time.

Hi, if your code is in a good shape for us to follow, you might open a draft PR and we might have a look. Perhaps some things could be optimized or improved.

1reaction

adekusar-drlcommented, Jun 29, 2022

@Gopal-Dahale may we help somehow?

Top Results From Across the Web

Quantum Convolutional Neural Network - TensorFlow

This tutorial implements a simplified Quantum Convolutional Neural Network (QCNN), a proposed quantum analogue to a classical convolutional ...

[1810.03787] Quantum Convolutional Neural Networks - arXiv

The QCNN architecture combines the multi-scale entanglement renormalization ansatz and quantum error correction. We explicitly illustrate its ...

Quantum Convolutional Neural Networks - PennyLane

Quantum Convolutional Neural Networks¶ ... Convolutional neural networks (CNNs) are a type of classical machine learning model often used in computer vision and ......

Quantum convolutional neural networks | Nature Physics

Convolutional neural networks provide a successful machine learning architecture for classification tasks such as image recognition. A CNN ...

What is a Quantum Convolutional Neural Network?

QCNN, or Quantum Convolutional Neural Network extends the key features and structures of existing CNN to quantum systems. When a quantum physics ...