collaborators

5 papers

cond-mat.str-el2026

Neural Flux Attachment: From Bose Condensates to Chiral Topological Matter

Rudik Badalyan, Khachatur G. Nazaryan, Tigran A. Sedrakyan

Can one neural wave function describe both a Bose condensate and a chiral topological liquid? We introduce ChernFormer, which combines a fermionic transformer with a fixed Chern-Si…

cond-mat.str-el2026

QERNEL: a Scalable Large Electron Model

Khachatur Nazaryan, Liang Fu

We introduce QERNEL, a foundational neural wavefunction that variationally solves families of parameterized many-electron Hamiltonians and captures their ground states throughout p…

cond-mat.str-el2026

Artificial Intelligence for Quantum Matter: Finding a Needle in a Haystack

Khachatur Nazaryan, Filippo Gaggioli, Yi Teng +1

Neural networks (NNs) have great potential in solving the ground state of various many-body problems. However, several key challenges remain to be overcome before NNs can tackle pr…

cond-mat.str-el2025

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…

cond-mat.supr-con2025

Magnonic Superconductivity

Khachatur G. Nazaryan, Liang Fu

We uncover a new superconducting state with partial spin polarization induced by a magnetic field. This state, which we call "magnonic superconductor", lacks a conventional pairing…