Hybrid Quantum-Classical Style Transfer (Student Abstract)

Emily Jimin Roh, Joo Yong Shim, Soohyun Park, Joongheon Kim

AAAI 2025 pp. 29480-29481

doi:10.1609/AAAI.V39I28.35295 /aaai/2025/roh2025aaai-hybrid/

Abstract

This paper proposes a novel quantum style transfer (QST) in hybrid quantum-classical computing. QST leverages quantum computing's ability to process high-dimensional data efficiently. Our approach aims to decrease both inference time and complexity while maintaining performance, presenting a viable solution that enhances the scalability and efficiency of image generation technologies.

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Cite

Text

Roh et al. "Hybrid Quantum-Classical Style Transfer (Student Abstract)." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I28.35295

Markdown

[Roh et al. "Hybrid Quantum-Classical Style Transfer (Student Abstract)." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/roh2025aaai-hybrid/) doi:10.1609/AAAI.V39I28.35295

BibTeX

@inproceedings{roh2025aaai-hybrid,
  title     = {{Hybrid Quantum-Classical Style Transfer (Student Abstract)}},
  author    = {Roh, Emily Jimin and Shim, Joo Yong and Park, Soohyun and Kim, Joongheon},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {29480-29481},
  doi       = {10.1609/AAAI.V39I28.35295},
  url       = {https://mlanthology.org/aaai/2025/roh2025aaai-hybrid/}
}