5 papers · 1 filter
Entanglement-Capability-Aware Finite-Bond Circuit Cutting for Distributed Quantum Computing
Weidong Liu, Qingqing Jiang, Yufu Liu +4
Distributed quantum computing distributes workloads that exceed a single processor's capacity across resource-constrained components. Circuit cutting enables this decomposition, bu…
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…