125 citations · 142 across the 7 of their papers we have counts for
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quant-ph2024★ 10 cited
Quantum DeepONet: Neural operators accelerated by quantum computing
Pengpeng Xiao, Muqing Zheng, Anran Jiao +2
In the realm of computational science and engineering, constructing models that reflect real-world phenomena requires solving partial differential equations (PDEs) with different c…
math.NA2024★ 3 cited
Solving forward and inverse PDE problems on unknown manifolds via physics-informed neural operators
Anran Jiao, Qile Yan, Jhn Harlim +1
In this paper, we evaluate the effectiveness of deep operator networks (DeepONets) in solving both forward and inverse problems of partial differential equations (PDEs) on unknown…