9 citations · 22 across the 10 of their papers we have counts for
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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…
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…
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…
Dynamic Routing in Space-Ground Integrated Quantum Networks
Tianjie Hu, Jindi Wu, Qun Li
Quantum networks emerge as fundamental frameworks for addressing various large-scale problems. There are two primary architectures: space-based quantum networks, which deploy satel…
SurfaceNet: Fault-Tolerant Quantum Networks with Surface Codes
Tianjie Hu, Jindi Wu, Qun Li
Quantum networks serve as the means to transmit information, encoded in quantum bits or qubits, between quantum processors that are physically separated. Given the instability of q…
MORE: Measurement and Correlation Based Variational Quantum Circuit for Multi-classification
Jindi Wu, Tianjie Hu, Qun Li
Quantum computing has shown considerable promise for compute-intensive tasks in recent years. For instance, classification tasks based on quantum neural networks (QNN) have garnere…
Scalable Quantum Neural Networks for Classification
Jindi Wu, Zeyi Tao, Qun Li
Many recent machine learning tasks resort to quantum computing to improve classification accuracy and training efficiency by taking advantage of quantum mechanics, known as quantum…
LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks
Zeyi Tao, Jindi Wu, Qi Xia +1
Variational quantum algorithms (VQAs) have recently received significant attention from the research community due to their promising performance in Noisy Intermediate-Scale Quantu…