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quant-ph2026
PAS-QFL: Personalized Ansatz Selection for Quantum Federated Learning under Client Data Heterogeneity
Jindi Wu, Qun Li
Quantum federated learning (QFL) lets multiple quantum clients collaboratively train quantum neural networks (QNNs) without sharing private local data. However, existing QFL method…
quant-ph2026★ 5 cited
Quantum Network Routing based on Surface Code Error Correction
Tianjie Hu, Jindi Wu, Qun Li
Quantum networks encounter unavoidable channel noises and erasure errors, presenting a huge obstacle in designing protocols that attain both high reliability and efficiency. Typica…
quant-ph2026★ 2 cited
A Fine-Grained and Efficient Reliability Analysis Framework for Noisy Quantum Circuits
Jindi Wu, Tianjie Hu, Qun Li
Evaluating the reliability of noisy quantum circuits is essential for implementing quantum algorithms on noisy quantum devices. However, current quantum hardware exhibits diverse n…