3 papers
gr-qc2026
Finding and characterising physical states of Euclidean Abelianized loop quantum gravity using neural quantum states
Hanno Sahlmann, Waleed Sherif
We study physical (near-kernel of constraints) states of 4-d Euclidean loop quantum gravity in Smolin's weak coupling limit on the complete graph using variational Monte Carl…
quant-ph2025
Simultaneous approximation of multiple degenerate states using a single neural network quantum state
Waleed Sherif
Neural network quantum states (NQS) excel at approximating ground states of quantum many-body systems, but approximating all states of a degenerate manifold is nevertheless computa…
gr-qc2025
Deep learning spinfoam vertex amplitudes: the Euclidean Barrett-Crane model
Hanno Sahlmann, Waleed Sherif
Spinfoam theories propose a well-defined path-integral formulation for quantum gravity and are hoped to provide the dynamics of loop quantum gravity. However, it is computationally…