activity
20172026
most citedOvercoming the curse of dimensionality in the numerical approximation of high-dimensional semilinear elliptic partial differential equations

30 citations · 69 across the 29 of their papers we have counts for

collaborators
Showing 2026 · quant-phShow all

2 papers · 2 filters

quant-ph2026

Quantitative Universal Approximation for Noisy Quantum Neural Networks

Lukas Gonon, Antoine Jacquier, Marcel Mordarski

We provide here a universal approximation theorem with precise quantitative error bounds for noisy quantum neural networks. We focus on applications to Quantitative Finance, where…

quant-ph2026

Efficient Quantum Algorithm for Robust Training

Yue Wang, Guangyi He, Liepeng Zhang +2

Adversarial training is a standard defense against malicious input perturbations in security-critical machine-learning systems. Its main burden is structural: before every paramete…