14 citations · 15 across the 6 of their papers we have counts for
3 papers · 1 filter
Attention-Based Foundation Model for Quantum States
Timothy Zaklama, Daniele Guerci, Liang Fu
We present an attention-based foundation model architecture for learning and predicting quantum states across Hamiltonian parameters, system sizes, and physical systems. Using only…
Solving fractional electron states in twisted MoTe with deep neural network
Di Luo, Timothy Zaklama, Liang Fu
The emergence of moiré materials, such as twisted transition-metal dichalcogenides (TMDs), has created a fertile ground for discovering novel quantum phases of matter. However, sol…
Is attention all you need to solve the correlated electron problem?
Max Geier, Khachatur Nazaryan, Timothy Zaklama +1
The attention mechanism has transformed artificial intelligence research by its ability to learn relations between objects. In this work, we explore how a many-body wavefunction an…