41 citations · 44 across the 5 of their papers we have counts for
5 papers
Can Variational Quantum Algorithms Demonstrate Quantum Advantages? Time Really Matters
Huan-Yu Liu, Zhao-Yun Chen, Tai-Ping Sun +3
Applying low-depth quantum neural networks (QNNs), variational quantum algorithms (VQAs) are both promising and challenging in the noisy intermediate-scale quantum (NISQ) era: Desp…
Data-driven Quantum Dynamical Embedding Method for Long-term Prediction on Near-term Quantum Computers
Tai-Ping Sun, Zhao-Yun Chen, Cheng Xue +7
The increasing focus on long-term time series prediction across various fields has been significantly strengthened by advancements in quantum computation. In this paper, we introdu…
Scalable Program Implementation and Simulation of the Large-Scale Quantum Algorithm: Quantum Linear Solver and Beyond
Zhao-Yun Chen, Cheng Xue, Xi-Ning Zhuang +5
Program implementation and simulation are essential for research in the field of quantum algorithms. However, complex and large-scale quantum algorithms can pose challenges for exi…
Efficient and Error-Resilient Data Access Protocols for a Limited-Sized Quantum Random Access Memory
Zhao-Yun Chen, Cheng Xue, Yun-Jie Wang +8
Quantum Random Access Memory (QRAM) is a critical component for loading classical data into quantum computers. While constructing a practical QRAM presents several challenges, incl…
Mitigating Barren Plateaus with Transfer-learning-inspired Parameter Initializations
Huan-Yu Liu, Tai-Ping Sun, Yu-Chun Wu +2
Variational quantum algorithms (VQAs) are widely applied in the noisy intermediate-scale quantum era and are expected to demonstrate quantum advantage. However, training VQAs faces…