adjoint method 1born approximation 1full-waveform inversion 1Gauss-Newton optimization 1quantum algorithms 1
From the 1 of 2 linked papers with an AI index.
2 papers
quant-ph2026
Calibrated Pressure-Observable Born and Hessian Actions for Quantum-Assisted Waveform Inversion
Guanyu Li, Jiwei Jia, Yu Wang +1
The paper proposes a quantum‑assisted framework for acoustic full‑waveform inversion that builds a pressure‑consistent operator and readout scheme to compute Born, adjoint, and Gau…
math.NA2026
Starter-Iterator Neural Operator: A Unified Architecture for High-Fidelity Forward and Inverse PDE Problems
Kuilin Qin, Lianfang Wang, Xu Sun +4
Operator learning is an emerging interdisciplinary field that integrates machine learning with scientific computing. By mapping infinite-dimensional function spaces, this approach…