Implementing Magnetic Resonance Imaging Brain Disorder Classification via AlexNet–Quantum Learning by Naif Alsharabi, Tayyaba Shahwar, Ateeq Ur Rehman, Yasser Alharbi

“…The hybrid model is constructed by extracting an informative feature vector from high-dimensional data using a classical pre-trained AlexNet model and further feeding this network to a quantum variational circuit (QVC). Quantum circuit leverages quantum computing phenomena, quantum bits, and different quantum gates such as Hadamard and CNOT gate for transformation. …”
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Invent it, sell it, bank it! : make your million-dollar idea into a reality / by Greiner, Lori, author

“…From one of the stars of ABC's Shark Tank and QVC's Clever & Unique Creations by Lori Greiner comes a hands-on, nuts-and-bolts guide to getting a new product or company off the ground and making it a success. …”

Benchmarking adversarially robust quantum machine learning at scale by Maxwell T. West, Sarah M. Erfani, Christopher Leckie, Martin Sevior, Lloyd C. L. Hollenberg, Muhammad Usman

“…In this paper, we benchmark the robustness of quantum ML networks, such as quantum variational classifiers (QVC), at scale by performing rigorous training for both simple and complex image datasets and through a variety of high-end adversarial attacks. …”
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Automated Detection of Alzheimer’s via Hybrid Classical Quantum Neural Networks by Tayyaba Shahwar, Junaid Zafar, Ahmad Almogren, Haroon Zafar, Ateeq Ur Rehman, Muhammad Shafiq, Habib Hamam

“…We use resnet34 to extract features from the image and feed a 512-feature vector to our quantum variational circuit (QVC) to generate a four-feature vector for precise decision boundaries. …”
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