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Published on: November 15, 2013
Symmetry-respecting real-space renormalization for the quantum Ashkin-Teller model
Aroon O'Brien1, Stephen D Bartlett1, Andrew C Doherty1
1Centre for Engineered Quantum Systems, School of Physics, The University of Sydney, Sydney NSW 2006, Australia.
A simple real-space renormalization-group approach accurately predicts critical exponents for the quantum Ashkin-Teller model. This method shows broad agreement with conformal field theory, even near complex critical points.
Area of Science:
- Condensed Matter Physics
- Quantum Many-Body Systems
- Statistical Mechanics
Background:
- The quantum Ashkin-Teller model is a one-dimensional quantum spin chain.
- It exhibits a line of criticality with continuously varying critical exponents.
- Previous studies showed a simple real-space renormalization-group (RG) approach is effective for the quantum transverse-field Ising model.
Purpose of the Study:
- To investigate the critical behavior of the quantum Ashkin-Teller model using a simple real-space RG approach.
- To explore the generality of this RG method for models with richer critical structures.
- To compare RG predictions with conformal field theory (CFT) and numerical simulations.
Main Methods:
- Employed a simple real-space renormalization-group approach exploiting on-site symmetry.
- Applied the method to the one-dimensional quantum Ashkin-Teller model.
- Compared the predicted correlation length critical exponent with CFT results and numerical simulations.
Main Results:
- The real-space RG approach yields predictions for the correlation length critical exponent in broad agreement with CFT along the criticality line.
- Near the special Ising point, the RG method's accuracy is comparable to intensive numerical simulations.
- The accuracy of the RG approach decreases as the model deviates from the simpler Ising case.
Conclusions:
- The simple real-space RG approach is a surprisingly accurate and efficient tool for studying critical phenomena in quantum spin chains like the Ashkin-Teller model.
- This method provides a valuable and computationally less demanding alternative to sophisticated numerical techniques for certain critical exponent predictions.
- The study validates the utility of this RG approach for models with complex critical behaviors beyond the Ising universality class.
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