Quantum Diffusion Models for Medical Image Analysis

arXiv:2609.31070 · eess.IV, cs.AI, cs.CV, cs.ET, cs.LG, quant-ph · Submitted 2026-09-25 · Read on arXiv

eess.IV, cs.AI, cs.CV, cs.ET, cs.LG, quant-ph

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Diffusion Model — 26× in this paper · explained in 8 episodes
• Diffusion Models — 19× in this paper · explained in 6 episodes
• Machine Learning — 19× in this paper
• Diffusion Process — 13× in this paper · explained in 2 episodes
• Quantum Machine Learning — 7× in this paper
• Generative Model — 6× in this paper · explained in 2 episodes
• Quantum Walk — 5× in this paper
• Generative Models — 4× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Discrete-Time Quantum Walk — 3× in this paper
• Activation Function — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Adjacency Matrix — 2× in this paper · explained in 1 episode
• Artificial Intelligence — 2× in this paper
• Data Augmentation — 2× in this paper · explained in 7 episodes
• Entanglement — 2× in this paper · explained in 4 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Initial Data — 2× in this paper · explained in 2 episodes
• Latent Diffusion Model — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Structural Similarity Index Measure — 2× in this paper
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Diffusion Processes — 1× in this paper · explained in 2 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Hilbert Space — 1× in this paper · explained in 2 episodes
• Kernel Density Estimation — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Magnetic Resonance Imaging — 1× in this paper
• Quantum Circuits — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes
• U-net architecture — 1× in this paper · explained in 3 episodes
• Unitary Dynamics — 1× in this paper · explained in 2 episodes

Sources

• Exponential quantum advantage in processing massive classical data
• Continuous-variable Quantum Diffusion Model for State Generation and Restoration
• Channel-Constrained Markovian Quantum Diffusion Model from Open System Perspective
• Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning
• Hybrid Quantum-Classical Latent Diffusion Models for Medical Image Generation
• Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST
• Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion
• Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

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