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Published on: June 7, 2018
Renormalization group study of random quantum magnets.
István A Kovács1, Ferenc Iglói
1Department of Physics, Loránd Eötvös University, H-1117 Budapest, Pázmány P. s. 1/A, Hungary. ikovacs@szfki.hu
Researchers developed an efficient algorithm to study random quantum magnets. The strong disorder renormalization group method reveals that disorder dominates quantum fluctuations at critical points.
Area of Science:
- Condensed Matter Physics
- Statistical Mechanics
- Quantum Magnetism
Background:
- The random transverse field Ising model is a key model for understanding random quantum magnets.
- Studying critical behavior in such systems is computationally challenging.
Purpose of the Study:
- To develop an efficient numerical algorithm for the strong disorder renormalization group method.
- To investigate the critical behavior of the random transverse field Ising model on various graph structures.
- To analyze Griffiths singularities in different phases.
Main Methods:
- Developed a highly efficient numerical algorithm for the strong disorder renormalization group method.
- Applied the algorithm to N-site clusters up to N ~ 4x10^6.
- Studied systems on regular lattices (D <= 4) and Erdős-Rényi random graphs (infinite dimensional).
Main Results:
- Quantum critical behavior is governed by an infinite disorder fixed point where disorder dominates quantum fluctuations.
- The renormalization procedure and critical properties are asymptotically exact for large systems.
- Griffiths singularities were observed in paramagnetic and ferromagnetic phases.
Conclusions:
- Disorder plays a crucial role in the critical behavior of random quantum magnets.
- The developed algorithm provides accurate insights into large-scale quantum critical phenomena.
- The numerical method is adaptable for studying other random quantum systems.
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