Designing Strongly Correlated Quantum Phases of Matter with Foundation Neural-Network Quantum States
Designing a material with a desired property amounts to solving an inverse problem: finding the couplings of a microscopic Hamiltonian whose ground state exhibits that property. For strongly correlated quantum systems, solving this problem efficiently remains largely out of reach. To address this challenge, we present...