2 papers
quant-ph2019
A Data Driven Approach to Learning The Hamiltonian Matrix in Quantum Mechanics
Jordan Burns, David Maughan, Yih Sung
We present a new machine learning technique which calculates a real-valued, time independent, finite dimensional Hamiltonian matrix from only experimental data. A novel cost functi…
gr-qc2018
Affine Symmetry, Geodesics, and Homogeneous Spacetimes
David Maughan, Charles Torre
We show that the conservation laws for the geodesic equation which are associated to affine symmetries can be obtained from symmetries of the Lagrangian for affinely parametrized g…