A Review of Quantum-Based Diffusion Models in Generative AI
Straipsniai
Glauco Lima
Federal University of ABC, Brazil
Ernestas Filatovas
Vilniaus universitetas
Marco Marcozzi
Vilniaus universitetas
Remigijus Paulavičius
Vilniaus universitetas
Publikuota 2025-05-12
https://doi.org/10.15388/LMITT.2025.14
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Kaip cituoti

Lima, G. (2025) “A Review of Quantum-Based Diffusion Models in Generative AI”, Vilnius University Open Series, pp. 109–120. doi:10.15388/LMITT.2025.14.

Santrauka

In recent years, the application of generative AI in several areas has been increasing. Concurrently, quantum computing has been advancing at an accelerated pace, unlocking new possibilities across various fields. This article provides an overview of the integration of quantum computing with generative AI, focusing on diffusion model techniques. We explore use cases documented in recent literature, illustrating how quantum computing techniques, when combined with diffusion models, are being leveraged to drive innovation.

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