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20242026
most citedQuantum homotopy analysis method with quantum-compatible linearization for nonlinear partial differential equations

6 citations · 6 across the 7 of their papers we have counts for

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quant-ph2026

Simulation of Lindbladian dynamics via adaptive variational quantum trajectory compression

Huan-Yu Liu, Cheng Xue, Yun-Jie Wang +5

Quantum simulation of open quantum systems in the noisy intermediate-scale quantum (NISQ) era is hindered by the non-unitary nature of dissipative dynamics and the limited quantum…

quant-ph2026

Routing Codes: High-Rate Quantum LDPC Codes with Short, Parallel Non-Local Connectivity

Jiaxuan Zhang, Zhao-Yun Chen, Peng Duan +6

Quantum low-density parity-check (qLDPC) codes are promising candidates for realizing large-scale fault-tolerant quantum computing. Although many codes with favorable theoretical p…

quant-ph2026

Adaptive Deformation of Color Code in Square Lattices with Defects

Tian-Hao Wei, Jia-Xuan Zhang, Jia-Ning Li +3

Quantum error correction is a crucial technology for fault tolerant quantum computing. On superconducting platforms, hardware defects in large scale quantum processors can disrupt…

quant-ph2026

Improving the trainability of VQE on NISQ computers for solving portfolio optimization using convex interpolation

Shengbin Wang, Guihui Li, Zhimin Wang +5

Solving combinatorial optimization problems using variational quantum algorithms (VQAs) might be a promise application in the NISQ era. However, the limited trainability of VQAs co…

quant-ph2026

Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor

Hai-Feng Zhang, Zhao-Yun Chen, Peng Wang +17

Quantum machine learning (QML) models, like their classical counterparts, are vulnerable to adversarial attacks, hindering their secure deployment. Here, we report the first system…

quant-ph2025

Quantum homotopy analysis method with quantum-compatible linearization for nonlinear partial differential equations

Cheng Xue, Xiao-Fan Xu, Xi-Ning Zhuang +8

Nonlinear partial differential equations (PDEs) are crucial for modeling complex fluid dynamics and are foundational to many computational fluid dynamics (CFD) applications. Howeve…