jvscursulim / qamp_fall22_project

A project of QAMP Fall 2022 about Quantum fMRI analysis.
https://github.com/qiskit-advocate/qamp-fall-22/issues/6
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fmri mri-images neqr qamp qiskit quantum-computing

Quantum fMRI analysis

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Description:

This repository have code related with my participation and contributions in the project Quantum fMRI analysis of QAMP 2022 Fall.

Tests:

Tests

References:

[1] Qiskit Textbook - NEQR

[2] Anand, Alok, et al. "Quantum Image Processing." arXiv preprint arXiv:2203.01831 (2022).

[3] Qiskit Textbook - QHED

[4] Torch Connector and Hybrid QNNs - Qiskit Machine Learning Tutorial

[5] The Quantum Convolution Neural Network - Qiskit Machine Learning Tutorial

[6] Quantum Transfer Learning - Pennylane Tutorial

[7] Cong, Iris, Soonwon Choi, and Mikhail D. Lukin. "Quantum convolutional neural networks." Nature Physics 15.12 (2019): 1273-1278.

[8] Eslami, Taban, et al. "ASD-DiagNet: a hybrid learning approach for detection of autism spectrum disorder using fMRI data." Frontiers in neuroinformatics 13 (2019): 70.

[9] Transfer learning in hybrid classical-quantum neural networks Andrea Mari, Thomas R. Bromley, Josh Izaac, Maria Schuld, Nathan Killoran

[10] Mathur, Natansh, et al. "Medical image classification via quantum neural networks." arXiv preprint arXiv:2109.01831 (2021).

[11] Fei Yan, Salvador E. Venegas-Andraca. "Quantum Image Processing"

[12] Amankwah, Mercy G., et al. "Quantum pixel representations and compression for N-dimensional images." Scientific reports 12.1 (2022): 1-15.