QuNetQFL is a quantum federated learning protocol using distributed quantum keys for secure aggregation, experimentally validated on a four-client quantum network with scalability simulations to 200 clients and applications to quantum datasets and hybrid language models.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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quant-ph 2years
2025 2verdicts
UNVERDICTED 2representative citing papers
Variational quantum circuits learn entanglement orbits under local unitary actions to classify four-qubit stabilizer states.
citing papers explorer
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Experimentally validated quantum-secure federated learning over a multi-user quantum network
QuNetQFL is a quantum federated learning protocol using distributed quantum keys for secure aggregation, experimentally validated on a four-client quantum network with scalability simulations to 200 clients and applications to quantum datasets and hybrid language models.
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A hybrid variational quantum circuit approach for stabilizer states classifiers
Variational quantum circuits learn entanglement orbits under local unitary actions to classify four-qubit stabilizer states.