MS234D Quantum Scientific Computing IV
Main Organizer:
Prof.
Yan Wang
(
Georgia Institute of Technology
, United States
)
Chaired by:
Prof. Kenjiro Terada (Tohoku University , Japan) , Dr. Norbert Hosters (RWTH Aachen University , Germany)
Prof. Kenjiro Terada (Tohoku University , Japan) , Dr. Norbert Hosters (RWTH Aachen University , Germany)
Scheduled presentations:
-
Quantum machine learning–assisted nonlinear topology optimization of continuum structures
-
Solving Nonlinear PDEs With Quantum Physics-informed Neural Networks and Trainable Embeddings
-
Quantum Gradient Flow Algorithm for Reducing Circuit Complexity in Matrix Inverse Calculations of Finite Element Analysis
-
A Latent Quantum Surrogate Model for Bayesian Inverse Problem
-
A Python Framework for Statevector Simulation with Hardware-Calibrated Noise Data from NISQ Deivces
-
Symbolic Analysis Enabling a Novel Quantum Approach for Training Gaussian Process Emulators
