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Full-Text Articles in Quantum Physics
Quantum Federated Learning: Training Hybrid Neural Networks Collaboratively, Anneliese Brei
Quantum Federated Learning: Training Hybrid Neural Networks Collaboratively, Anneliese Brei
Undergraduate Honors Theses
This thesis explores basic concepts of machine learning, neural networks, federated learning, and quantum computing in an effort to better understand Quantum Machine Learning, an emerging field of research. We propose Quantum Federated Learning (QFL), a schema for collaborative distributed learning that maintains privacy and low communication costs. We demonstrate the QFL framework and local and global update algorithms with implementations that utilize TensorFlow Quantum libraries. Our experiments test the effectiveness of frameworks of different sizes. We also test the effect of changing the number of training cycles and changing distribution of training data. This thesis serves as a synoptic …