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Found 5 papers, 2 papers with code
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural sciences.
A Score-Based Model for Learning Neural Wavefunctions
Existing optimization approaches compute the energy by sampling local energy from an explicit probability distribution given by the wavefunction.
Lattice Convolutional Networks for Learning Ground States of Quantum Many-Body Systems
Based on the proposed lattice convolutions, we design lattice convolutional networks (LCN) that use self-gating and attention mechanisms.
Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks
We employ our methods to participate in the 2021 KDD Cup on OGB Large-Scale Challenge (OGB-LSC), which aims to predict the HOMO-LUMO energy gap of molecules.
Hilbert Space Fragmentation and Exact Scars of Generalized Fredkin Spin Chains
In this work, based on the Fredkin spin chain, we introduce a family of spin-$1/2$ many-body Hamiltonians with a three-site interaction featuring a fragmented Hilbert space with coexisting quantum many-body scars.
Strongly Correlated Electrons Quantum Physics
