2 papers
quant-ph2025
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…
quant-ph2024
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…