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Excitation gap from optimized correlation functions in quantum Monte Carlo simulations
1Department of Physics, University of California, Santa Cruz, California 95064, USA. itayhe@physics.ucsc.edu
We present a method for optimized correlation functions in quantum Monte Carlo simulations. This approach improves accuracy and signal-to-noise ratios for calculating energy gaps in many-body systems.
Area of Science:
- Computational Physics
- Quantum Many-Body Theory
Background:
- Accurate determination of energy gaps in quantum many-body systems is crucial for understanding their properties.
- Traditional methods using standard correlation functions can suffer from noise and inaccuracies.
Purpose of the Study:
- To introduce a prescription for optimized correlation functions in quantum Monte Carlo (QMC) simulations.
- To enhance the extraction of the energy gap to the first excited state.
Main Methods:
- Development of a procedure for generating optimized correlation functions.
- Application of these functions within QMC simulations.
- Analysis of signal-to-noise ratios and computational cost.
Main Results:
- Optimized correlation functions yield more accurate gap values compared to non-optimized ones.
- The proposed method significantly improves signal-to-noise ratios.
- The computational cost of the procedure is not demanding.
Conclusions:
- Optimized correlation functions offer a superior approach for gap extraction in QMC.
- This method is effective for studying interacting spin-1/2 particle systems.
- The technique provides a computationally efficient way to achieve higher accuracy.
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