activity
20172026
most citedOn the impact of quantum computing technology on future developments in high-performance scientific computing

138 citations · 201 across the 17 of their papers we have counts for

collaborators

18 papers

math.NA2026

Parameterization-driven arbitrary Lagrangian-Eulerian method for large-deformation isogeometric fluid-structure interaction

Jingya Li, Ye Ji, Hugo Verhelst +2

Body-fitted arbitrary Lagrangian-Eulerian (ALE) methods provide a sharp representation of the fluid-structure interface but rely on mesh-update strategies that incrementally deform…

math.NA2025

IGA-LBM: Isogeometric lattice Boltzmann method

Ye Ji, Monica Lăcătuş, Matthias Möller

The lattice Boltzmann method (LBM) offers intrinsic parallelism and simple boundary treatment, but Cartesian lattices approximate curved boundaries by stair steps, causing spurious…

quant-ph2024

Overdispersion in gate tomography: Experiments and continuous, two-scale random walk model on the Bloch sphere

Wolfgang Nowak, Tim Brünnette, Merel Schalkers +1

Noisy intermediate-scale quantum computers (NISQ) are in their childhood, but showing high promise. One main concern for NISQ machines is their inherent noisiness, as the qubit sta…

math.NA2024

Boundary parameter matching for isogeometric analysis using Schwarz-Christoffel mapping

Ye Ji, Matthias Möller, Yingying Yu +1

Isogeometric analysis has brought a paradigm shift in integrating computational simulations with geometric designs across engineering disciplines. This technique necessitates analy…

quant-ph2024★ 14 cited

Quantum Computing and Tensor Networks for Laminate Design: A Novel Approach to Stacking Sequence Retrieval

Arne Wulff, Boyang Chen, Matthew Steinberg +3

As with many tasks in engineering, structural design frequently involves navigating complex and computationally expensive problems. A prime example is the weight optimization of la…

math.NA2023

A short report on preconditioned Anderson acceleration method

Kewang Chen, Ye Ji, Matthias Möller +1

In this report, we present a versatile and efficient preconditioned Anderson acceleration (PAA) method for fixed-point iterations. The proposed framework offers flexibility in bala…