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Equations-of-motion approach to quantum mechanics: application to a model phase transition
S Y Ho1, G Rosensteel, D J Rowe
1Department of Physics, University of Toronto, Toronto, Ontario M5S 1A7, Canada.
We developed an efficient equations-of-motion method for calculating quantum system properties. This method accurately predicts energy spectra and matrix elements for algebraic models, outperforming larger matrix diagonalizations.
Area of Science:
- Quantum mechanics
- Computational physics
- Theoretical chemistry
Background:
- Algebraic models are crucial for describing complex quantum systems.
- Calculating energy spectra and matrix elements can be computationally intensive.
- Quantum phase transitions represent significant changes in system behavior.
Purpose of the Study:
- To introduce a generalized equations-of-motion method for efficient computation.
- To apply this method to a five-dimensional quartic oscillator model.
- To investigate quantum phase transitions in the model system.
Main Methods:
- Developed a generalized equations-of-motion approach.
- Applied the method to a five-dimensional quartic oscillator.
- Compared results with traditional matrix diagonalization techniques.
Main Results:
- The method efficiently calculates energy spectra and matrix elements.
- Observed a quantum phase transition between vibrational and rotational phases.
- Achieved superior accuracy using small matrices (10x10) compared to large ones (1000x1000) for specific parameters.
Conclusions:
- The generalized equations-of-motion method offers an efficient and accurate alternative for algebraic models.
- The study demonstrates the method's capability in capturing quantum phase transitions.
- This approach provides a significant computational advantage in quantum mechanical calculations.
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