End-to-End Quantum Semantic Communication with Variational Quantum Neural Networks

arXiv:2609.25044 · quant-ph, cs.LG · Submitted 2026-08-30 · Read on arXiv

quant-ph, cs.LG

Submitted: 2026-08-30

Updated: 2026-10-06

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 20× in this paper · explained in 1 episode
• Robustness — 15× in this paper · explained in 5 episodes
• Fidelity — 14× in this paper · explained in 2 episodes
• Trace — 12× in this paper · explained in 2 episodes
• Trace Distance — 10× in this paper · explained in 3 episodes
• Latent Representation — 8× in this paper · explained in 2 episodes
• Knowledge Graph — 5× in this paper · explained in 7 episodes
• Knowledge graphs — 3× in this paper · explained in 2 episodes
• AdamW Optimizer — 2× in this paper · explained in 1 episode
• Hilbert Space — 2× in this paper · explained in 2 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Quantum Circuits — 2× in this paper · explained in 2 episodes
• Signal-to-noise ratio (SNR) — 2× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Digital Twin — 1× in this paper · explained in 4 episodes
• Energy Efficiency — 1× in this paper · explained in 3 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• GNNs — 1× in this paper · explained in 2 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Multimodal Inputs — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• 6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications
• A Theory of Semantic Communication
• Semantic Communication Enhanced by Knowledge Graph Representation Learning
• GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm
• Large Language Models on Graphs: A Comprehensive Survey
• Quantum Semantic Communication Beyond the Shannon-Wyner Channel Capacity
• Quantum Semantic Communications for Resource-Efficient Quantum Networking
• Quantum hardware noise learning via differentiable Kraus representation on tensor networks
• Language Model for Large-Text Transmission in Noisy Quantum Communications
• Estimation of trace distance between two arbitrary quantum states

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