How to count in hierarchical landscapes: a 'full' solution to mean-field complexity
arXiv:2207.06161 · doi:10.1103/PhysRevE.107.064111
Abstract
We derive the general solution for counting the stationary points of mean-field complex landscapes. It incorporates Parisi's solution for the ground state, as it should. Using this solution, we count the stationary points of two models: one with multi-step replica symmetry breaking, and one with full replica symmetry breaking.
References in corpus (4)
Cited by in corpus (8)
- On weak ergodicity breaking in mean-field spin glasses
- Arrangement of nearby minima and saddles in the mixed spherical energy landscapes
- When is the average number of saddle points typical?
- On the topology of solutions to random continuous constraint satisfaction problems
- Topological Phase Transitions in a Constrained Two-Qubit Quantum Control Landscape
- On Marginal Stability in Low Temperature Spherical Spin Glasses
- Landscape Complexity for the Empirical Risk of Generalized Linear Models: Discrimination between Structured Data
- Rényi complexity in mean-field disordered systems