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Published on: May 27, 2020
Flexible class of exact Hubbard-Stratonovich transformations
Seher Karakuzu1, Benjamin Cohen-Stead2,3, Cristian D Batista2
1Center for Computational Quantum Physics, Flatiron Institute, 162 Fifth Avenue, New York, New York 10010, USA.
We introduce a tunable Hubbard-Stratonovich transformation for quantum Monte Carlo simulations. Increasing the parameter p systematically reduces the sign problem in Hubbard models, enabling efficient continuous sampling methods.
Area of Science:
- Condensed Matter Physics
- Computational Physics
Background:
- Hubbard interactions are crucial for understanding strongly correlated electron systems.
- Quantum Monte Carlo (QMC) simulations are powerful tools for studying these systems.
- The sign problem remains a significant challenge in QMC simulations of many-fermion systems.
Purpose of the Study:
- To develop and analyze a class of Hubbard-Stratonovich transformations for QMC.
- To investigate the impact of a tunable parameter on the sign problem.
- To explore the trade-offs between different sampling methods.
Main Methods:
- We propose a tunable Hubbard-Stratonovich transformation with parameter p.
- The transformation interpolates between discrete Ising and compact sinusoidal auxiliary fields.
- Numerical benchmarks were performed on single-band square and triangular Hubbard models.
Main Results:
- The severity of the sign problem systematically decreases as the parameter p increases.
- Finite values of p allow for the application of continuous sampling methods like Langevin or Hamiltonian Monte Carlo.
- Trade-offs between simulation methods were explored through numerical benchmarks.
Conclusions:
- The developed Hubbard-Stratonovich transformation offers a flexible approach to mitigate the sign problem in QMC.
- Increasing the parameter p is an effective strategy for reducing the sign problem.
- The choice of p allows for a balance between sign problem reduction and the applicability of continuous sampling techniques.
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