Hybrid Quantum-Classical Style Transfer - Paper Implementation

[Deeksha-Shanmugam]

This project implements a quantum-enhanced neural style transfer using PyTorch and the Classiq quantum framework. It extracts image features using a pretrained VGG-19 model and transforms them via a quantum circuit to compute a quantum-based similarity loss. The classical style transfer is then augmented with this quantum loss for richer stylization. The output is a stylized image combining content and artistic style.

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[TomerGoldfriend]

@Deeksha-Shanmugam I am closing this, you can reopen after addressing the general comments above, in case you still want to work on this.