Quantum Fidelity Landscape-Guided Prior Calibration for Single-Circuit QGAN Image Generation

arXiv:2609.36702 · quant-ph, cs.CV · Submitted 2026-09-29 · Read on arXiv

quant-ph, cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Fidelity — 58× in this paper · explained in 2 episodes
• Calibration — 28× in this paper · explained in 7 episodes
• Trace — 14× in this paper · explained in 2 episodes
• Adversarial Training — 11× in this paper · explained in 1 episode
• Quantum Fidelity Landscape — 10× in this paper
• Wasserstein Distance — 9× in this paper · explained in 4 episodes
• Trace Distance — 8× in this paper · explained in 3 episodes
• Alignment — 7× in this paper · explained in 1 episode
• Ablation — 6× in this paper · explained in 1 episode
• Adam — 6× in this paper · explained in 2 episodes
• Consistency — 6× in this paper · explained in 3 episodes
• Hilbert Space — 6× in this paper · explained in 2 episodes
• Mode Collapse — 5× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Objective Function — 3× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Quantum Circuits — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Hand-drawn Shapes — 1× in this paper
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Noisy Intermediate-Scale Quantum — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Latent Style-based Quantum GAN for high-quality Image Generation
• A Quantum Approximate Optimization Algorithm
• End-to-End QGAN-Based Image Synthesis via Neural Noise Encoding and Intensity Calibration

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