Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1999-05-10
J. Phys. A 33, 657 (2000)
Physics
Condensed Matter
Disordered Systems and Neural Networks
10 pages, 11 figures, 35 references, revtex
Scientific paper
10.1088/0305-4470/33/4/301
A ``ballistic-search'' algorithm is presented which allows the identification of clusters (or funnels) of ground states in Ising spin glasses even for moderate system sizes. The clusters are defined to be sets of states, which are connected in state-space by chains of zero-energy flips of spins. The technique can also be used to estimate the sizes of such clusters. The performance of the method is tested with respect to different system sizes and choices of parameters. As an application the ground-state funnel structure of two-dimensional +or- J spin glasses of systems up to size L=20 is analyzed by calculating a huge number of ground states per realization. A T=0 entropy per spin of s_0=0.086(4)k_B is obtained.
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