About this document
Quantum Neural Networks for Edge Computing by costanturco is a document available to read on EtoBox.
This study explores the use of quantum-inspired algorithms in neural networks for decentralized edge computing. A hybrid quantum-classical architecture is proposed, which improves data locality and reduces latency in federated learning, achieving a 23% improvement in convergence rates over classical models. The findings highlight the effectiveness of quantum amplitude amplification techniques in resource-constrained environments.
- Author
- costanturco
- Language
- EN