3 papers
cs.LG2026
Almost Bayesian: The Fractal Dynamics of Stochastic Gradient Descent
Max Hennick, Stijn De Baerdemacker
We show that the behavior of stochastic gradient descent is related to Bayesian statistics by showing that SGD is effectively diffusion on a fractal landscape, where the fractal di…
cond-mat.dis-nn2025
Max Cut graph driven quantum circuit design for geometrically frustrated planar spin systems with spin glass like energy landscapes
Seyed Ehsan Ghasempouri, Gerhard W. Dueck, Stijn De Baerdemacker
Finding the ground state of geometrically frustrated spin systems is a challenging problem with broad implications. Many hard optimization problems, including NP-complete problems,…
quant-ph2024
Spin-Symmetry Projected constrained Unrestricted Hartree-Fock
Amir Ayati, Hugh G. A. Burton, Stijn De Baerdemacker
We introduce an electronic structure approach for spin symmetry breaking and restoration from the mean-field level. The spin-projected constrained-unrestricted Hartree-Fock (SPcUHF…