most citedEnhancing Variational Quantum Circuit Training: An Improved Neural Network Approach for Barren Plateau Mitigation

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quant-ph2024★ 4 cited

Enhancing Variational Quantum Circuit Training: An Improved Neural Network Approach for Barren Plateau Mitigation

Zhehao Yi, Yanying Liang, Haozhen Situ

Combining classical optimization with parameterized quantum circuit evaluation, variational quantum algorithms (VQAs) are among the most promising algorithms in near-term quantum c…

quant-ph2024

Learnability of a hybrid quantum-classical neural network for graph-structured quantum data

Yanying Liang, Sile Tang, Zhehao Yi +2

Graph-structured data commonly arise in many real-world applications, and this extends naturally into the quantum setting, where quantum data with inherent graph structures are fre…