Quantum image dataset loading

[waheeda-saib]

Description

This project converts given image dataset to quantum processable data(qubits) by utilizing PCA for dimensionality reduction and initial states for generating qubits. It can analyze the number of PCA components and produce the transformed qubits of an image dataset for a chosen IBM quantum device or simulator. The variance percentage that is being kept by PCA is also given as feedback to the user.

• @githubhandle
• @githubhandle - Slack: @slackhandle email: [email protected]
• Qiskit Coach: @richardyoung00

Deliverable

A code module

GitHub repo

https://github.com/moswil/Qiskit-Hackathon

[richardyoung00]

MalariaDrugImagesGHS.zip

[DocHarry]

@qcamp

[moswil]

A Review on Quantum Image Processing

• Here is the link to QIP
  https://medium.com/@maddyschiappa/quantum-image-processing-d80a3c0722f4

[abelk10]

Check this one too

https://community.qiskit.org/experiments/quantum-img-processing/

[Nqubehm]

@qcamp

[waheeda-saib]

Have a look at how the data is loaded for QSVM: https://medium.com/datadriveninvestor/implementation-of-quantum-svm-using-the-qiskit-library-9eabb6a6270a

[moswil]

@qcamp

[moswil]

Quantum Image Processing Paper

https://arxiv.org/pdf/1801.01465.pdf

[abelk10]

NEQR paper

https://www.researchgate.net/publication/257641933_NEQR_A_novel_enhanced_quantum_representation_of_digital_images

[Filazion]

@qcamp

[richardyoung00]

This test in Aqua shows how to initialise the state of a circuit to a custom vector. https://github.com/Qiskit/qiskit-aqua/blob/0a9e3df421dc24e16e552909f72942e101cc7643/test/aqua/test_initial_state_custom.py

[moswil]

This is for how to apply PCA for image data
https://medium.com/@sebastiannorena/pca-principal-components-analysis-applied-to-images-of-faces-d2fc2c083371

[abelk10]

@qcamp

[moswil]

PCA
https://www.datacamp.com/community/tutorials/principal-component-analysis-in-python

[richardyoung00]

Look at point number 7
https://developer.ibm.com/recipes/tutorials/kmeans-clusterization-algorithm-with-quantum-circuit-part-2/

[richardyoung00]

https://towardsdatascience.com/an-approach-to-choosing-the-number-of-components-in-a-principal-component-analysis-pca-3b9f3d6e73fe

[DocHarry]

link for the code of the component selection:
https://github.com/mGalarnyk/Python_Tutorials/blob/master/Sklearn/PCA/PCA_Image_Reconstruction_and_such.ipynb

[Filazion]

data.zip

[Filazion]

https://developer.ibm.com/recipes/tutorials/kmeans-clusterization-algorithm-with-quantum-circuit-part-2/

[Filazion]

data.zip

[Filazion]

screenshots.zip

[Nqubehm]

Presentation slides

CLASSICAL DATA TO QUANTUM DATA.pptx