Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1999-02-09
Phys. Rev. E 63, 016106 (2001)
Physics
Condensed Matter
Disordered Systems and Neural Networks
large extensions, now 12 pages, 9 figures, 27 references
Scientific paper
10.1103/PhysRevE.63.016106
A huge number of independent true ground-state configurations is calculated for two-, three- and four-dimensional +- J spin-glass models. Using the genetic cluster-exact approximation method, system sizes up to N=20^2,8^3,6^4 spins are treated. A ``ballistic-search'' algorithm is applied which allows even for large system sizes to identify clusters of ground states which are connected by chains of zero-energy flips of spins. The number of clusters n_C diverges with N going to infinity. For all dimensions considered here, an exponential increase of n_C appears to be more likely than a growth with a power of N. The number of different ground states is found to grow clearly exponentially with N. A zero-temperature entropy per spin of s_0=0.078(5)k_B (2d), s_0=0.051(3)k_B (3d) respectively s_0=0.027(5)k_B (4d) is obtained.
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