13 citations · 23 across the 8 of their papers we have counts for
9 papers
Pulse-Informed Physical Placement for Parallel Two-Qubit Gates in Qubit Arrays
Shahid Qamar, Wei-Feng Zhuang, Bilal Riaz +1
A parallel two-qubit layer can often be realized with several nonoverlapping sets of physical couplers, but isolated calibrations do not reveal how each realization performs after…
Hierarchical Quantum Optimization via Backbone-Driven Problem Decomposition: Integrating Tabu-Search with QAOA
Minhui Gou, Zeyang Li, Hong-Ze Xu +6
As quantum computing advances, quantum approximate optimization algorithms (QAOA) have shown promise in addressing combinatorial optimization problems. However, the limitations of…
PPO-Q: Proximal Policy Optimization with Parametrized Quantum Policies or Values
Yu-Xin Jin, Zi-Wei Wang, Hong-Ze Xu +3
Quantum machine learning (QML), which combines quantum computing with machine learning, is widely believed to hold the potential to outperform traditional machine learning in the e…
QSteed: A Resource-Virtualized and Hardware-Aware Quantum Compilation Framework for Real Quantum Computing Processors
Hong-Ze Xu, Zheng-An Wang, Yu-Long Feng +11
As quantum computing systems continue to scale up and become more clustered, efficiently compiling user quantum programs into high fidelity executable sequences on real hardware re…
Quantumness and quantum to classical transition in the generalized Rabi model
Wei-Feng Zhuang, Yun-Tong Yang, Hong-Gang Luo +2
The quantum to classical transition (QCT) is one of the central mysteries in quantum physics. This process is generally interpreted as state collapse from measurement or decoherenc…
Quafu-Qcover: Explore Combinatorial Optimization Problems on Cloud-based Quantum Computers
BAQIS Quafu Group
We present Quafu-Qcover, an open-source cloud-based software package designed for combinatorial optimization problems that support both quantum simulators and hardware backends. Qu…
Information scrambling and entanglement in quantum approximate optimization algorithm circuits
Chen Qian, Wei-Feng Zhuang, Rui-Cheng Guo +2
Variational quantum algorithms, which consist of optimal parameterized quantum circuits, are promising for demonstrating quantum advantages in the noisy intermediate-scale quantum…
Benchmarking universal quantum gates via channel spectrum
Yanwu Gu, Wei-Feng Zhuang, Xudan Chai +1
Noise remains the major obstacle to scalable quantum computation. Quantum benchmarking provides key information on noise properties and is an important step for developing more adv…
Efficient Classical Computation of Quantum Mean Values for Shallow QAOA Circuits
Wei-Feng Zhuang, Ya-Nan Pu, Hong-Ze Xu +9
The Quantum Approximate Optimization Algorithm (QAOA), which is a variational quantum algorithm, aims to give sub-optimal solutions of combinatorial optimization problems. It is wi…