2 papers
quant-ph2025
Quantum Gradient Flow Algorithm for Symmetric Positive Definite Systems via Quantum Eigenvalue Transformation: Towards Quantum CAE
Yuto Lewis Terashima, Tadashi Kadowaki, Yohichi Suzuki +1
In this study, we propose the Quantum Gradient Flow Algorithm (QGFA), a novel quantum algorithm for solving symmetric positive definite (SPD) linear systems based on the variationa…
cs.CE2024
Efficient computational homogenization via tensor train format
Yuki Sato, Yuto Lewis Terashima, Ruho Kondo
Real-world physical systems, like composite materials and porous media, exhibit complex heterogeneities and multiscale nature, posing significant computational challenges. Computat…