5 papers
A HIP-Compatible Accelerator Backend for Fourier-Bessel Particle-in-Cell Simulations on CPU/DCU Heterogeneous Clusters
Jingliang Fan, Ruiqing He, Yang Wan +3
FBPIC (Fourier-Bessel particle-in-cell) is a high-performance simulation code for relativistic plasma and accelerator physics. Its original accelerator backend relies on Numba CUDA…
A CPU+DCU Heterogeneous Parallel Framework for Post-Processing Reconstruction in Quantum Circuit Cutting
Qingqing Jiang, Weidong Liu, Yufu Liu +4
In the NISQ era, limited qubit resources make it difficult to execute large quantum circuits directly on real hardware. Quantum circuit cutting mitigates this limitation by decompo…
Sparsified Kolmogorov-Arnold Networks for Interpretable Quantum State Tomography
Xinge Wu, Huaxin Wang, Jiajun Liu +4
Machine-learning approaches to quantum state tomography can achieve high reconstruction fidelity, but the physical structure used by the trained model often remains implicit. Here…
Approximate Hamiltonian Simulation Algorithm for Efficient Fluid Quantum Simulations
Zhiyuan Zhang, Bolin Zhang, Yongguang Lv +4
This work aims to address the bottleneck issues of hardware resource limitation and decoherence error in the Hamiltonian simulation of quantum fluids, which are caused by the stand…
Scalable Quantum Error Mitigation with Physically Informed Graph Neural Networks
Huaxin Wang, Xinge Wu, Jiajun Liu +4
Quantum error mitigation (QEM) provides a practical route for estimating reliable observables on noisy intermediate-scale quantum (NISQ) devices. Traditional QEM strategies, includ…