Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2011-09-20
J. Phys.: Condens. Matter 23 (2011) 404204
Physics
Condensed Matter
Disordered Systems and Neural Networks
12 pages, 12 figures
Scientific paper
10.1088/0953-8984/23/40/404204
We have developed a very efficient numerical algorithm of the strong disorder renormalization group method to study the critical behaviour of the random transverse-field Ising model, which is a prototype of random quantum magnets. With this algorithm we can renormalize an N-site cluster within a time N*log(N), independently of the topology of the graph and we went up to N~4*10^6. We have studied regular lattices with dimension D<=4 as well as Erdos-Renyi random graphs, which are infinite dimensional objects. In all cases the quantum critical behaviour is found to be controlled by an infinite disorder fixed point, in which disorder plays a dominant role over quantum fluctuations. As a consequence the renormalization procedure as well as the obtained critical properties are asymptotically exact for large systems. We have also studied Griffiths singularities in the paramagnetic and the ferromagnetic phases and generalized the numerical algorithm for another random quantum systems.
Igloi Ferenc
Kovacs Istvan A.
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