Abstract
We present a numerical study of ground states of the dilute versions of the Sherrington-Kirkpatrick (SK) mean-field spin glass. In contrast to so-called "sparse" mean-field spin glasses that have been studied widely on random networks of finite (average or regular) degree, the networks studied here are randomly bond-diluted to an overall density , such that the average degree diverges as with the system size . Ground-state energies are obtained with high accuracy for random instances over a wide range of fixed . Since this is a NP-hard combinatorial problem, we employ the Extremal Optimization heuristic to that end. We find that the exponent describing the finite-size corrections, , varies continuously with , a somewhat surprising result, as one would not expect that gradual bond-dilution would change the universality class of a statistical model. For , the familiar result of for SK is obtained.
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