70 citations · 193 across the 9 of their papers we have counts for
9 papers
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…
Towards Advantages of Parameterized Quantum Pulses
Zhiding Liang, Jinglei Cheng, Zhixin Song +7
The advantages of quantum pulses over quantum gates have attracted increasing attention from researchers. Quantum pulses offer benefits such as flexibility, high fidelity, scalabil…
Hybrid Gate-Pulse Model for Variational Quantum Algorithms
Zhiding Liang, Zhixin Song, Jinglei Cheng +8
Current quantum programs are mostly synthesized and compiled on the gate-level, where quantum circuits are composed of quantum gates. The gate-level workflow, however, introduces s…
NAPA: Intermediate-level Variational Native-pulse Ansatz for Variational Quantum Algorithms
Zhiding Liang, Jinglei Cheng, Hang Ren +8
Variational quantum algorithms (VQAs) have demonstrated great potentials in the Noisy Intermediate Scale Quantum (NISQ) era. In the workflow of VQA, the parameters of ansatz are it…
Practical distributed quantum information processing with LOCCNet
Xuanqiang Zhao, Benchi Zhao, Zihe Wang +2
Distributed quantum information processing is essential for building quantum networks and enabling more extensive quantum computations. In this regime, several spatially separated…
Detecting and quantifying entanglement on near-term quantum devices
Kun Wang, Zhixin Song, Xuanqiang Zhao +2
Quantum entanglement is a key resource in quantum technology, and its quantification is a vital task in the current Noisy Intermediate-Scale Quantum (NISQ) era. This paper combines…
VSQL: Variational Shadow Quantum Learning for Classification
Guangxi Li, Zhixin Song, Xin Wang
Classification of quantum data is essential for quantum machine learning and near-term quantum technologies. In this paper, we propose a new hybrid quantum-classical framework for…
Variational Quantum Algorithms for Trace Distance and Fidelity Estimation
Ranyiliu Chen, Zhixin Song, Xuanqiang Zhao +1
Estimating the difference between quantum data is crucial in quantum computing. However, as typical characterizations of quantum data similarity, the trace distance and quantum fid…
Variational Quantum Singular Value Decomposition
Xin Wang, Zhixin Song, Youle Wang
Singular value decomposition is central to many problems in engineering and scientific fields. Several quantum algorithms have been proposed to determine the singular values and th…