Encryptability As a Coordinate Choice: Depth-One Homomorphic Federated Learning of Quantum Neural Networks

arXiv:2609.30581 · quant-ph, cs.CR, cs.DC, cs.LG · Submitted 2026-09-24 · Read on arXiv

quant-ph, cs.CR, cs.DC, cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Aggregation — 65× in this paper · explained in 1 episode
• Federated Learning — 18× in this paper · explained in 15 episodes
• Decode — 11× in this paper · explained in 2 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Quantum Circuits — 5× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Differential Privacy — 4× in this paper · explained in 4 episodes
• Fidelity — 4× in this paper · explained in 2 episodes
• Verification — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Entanglement — 3× in this paper · explained in 4 episodes
• International Conference on Machine Learning — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Actor — 2× in this paper · explained in 3 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Computer and Communications Security — 2× in this paper
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes

Sources

• Flower: A Friendly Federated Learning Research Framework
• The Solovay-Kitaev algorithm
• Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
• Private quantum computation: An introduction to blind quantum computing and related protocols
• Quantum delegated and federated learning via quantum homomorphic encryption
• Classical Homomorphic Encryption for Quantum Circuits
• Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

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