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quant-ph2026
Exponential quantum space advantage for Shannon entropy estimation in data streams
Weijun Feng, Yongzhen Xu, Lvzhou Li +2
Near-term quantum devices with limited qubits motivate the study of space-bounded quantum computation in the data stream model. We show that Shannon entropy estimation exhibits an…
quant-ph2024
Quantum Federated Learning for Distributed Quantum Networks
Kai Yu, Fei Gao, Song Lin
Federated learning is a framework that can learn from distributed networks. It attempts to build a global model based on virtual fusion data without sharing the actual data. Nevert…