QFORMER: An Efficient Foundational PDE Model for the Time-Dependent Schr ̈odinger Equation
QFORMER is a proposed Transformer-based deep learning model designed to solve the time-dependent Schroedinger equation by integrating multiscale operator transformers and physics-informed neural networks, aiming for scalable and accurate quantum simulations across diverse electron configurations and initial states.
Jan 4, 2025
