Inspired by quantum physics, Quantum Vision (QV) theory introduces a completely new perspective in deep learning. QV takes captured still images of objects and converts them into information wave functions using a deep learning module called the QV Block .
The QV Block can be integrated into: Convolutional Neural Networks (CNNs), Vision Transformers (ViTs) and Convolutional Vision Transformers (CCTs).
QV codes are open-source with AGPL-3.0 license in our GitHub page
Coming soon: QV Community Page for code examples, tutorials, workshops, news, and more.
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