18 citations · 32 across the 7 of their papers we have counts for
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quant-ph2024★ 3 cited
Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm
Zhiding Liang, Gang Liu, Zheyuan Liu +8
In recent years, quantum computing has emerged as a transformative force in the field of combinatorial optimization, offering novel approaches to tackling complex problems that hav…
quant-ph2023★ 12 cited
Unleashing the Potential of LLMs for Quantum Computing: A Study in Quantum Architecture Design
Zhiding Liang, Jinglei Cheng, Rui Yang +6
Large Language Models (LLMs) contribute significantly to the development of conversational AI and has great potentials to assist the scientific research in various areas. This pape…
quant-ph2023
Fidelity estimator, randomized benchmarking and ZNE for quantum pulses
Jinglei Cheng, Zhiding Liang, Rui Yang +4
Most previous research focused on designing pulse programs without considering the performance of individual elements or the final fidelity. To evaluate the performance of quantum…