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Pure State v-Representability of Density Matrix Embedding Theory
Fabian M Faulstich1, Raehyun Kim1, Zhi-Hao Cui2
1Department of Mathematics, University of California, Berkeley, California 94720, United States.
Density matrix embedding theory (DMET) calculations can face challenges with matching density matrices. This study introduces an augmented Lagrangian method to relax the Aufbau principle, improving accuracy in complex scenarios.
Area of Science:
- Quantum chemistry
- Computational condensed matter physics
Background:
- Density matrix embedding theory (DMET) requires matching density matrix blocks from high-level and low-level theories.
- Practical calculations sometimes fail to achieve exact matching, leading to vanishing low-level band gaps and numerical issues.
Purpose of the Study:
- To address the challenges in DMET calculations arising from the inability to achieve exact matching of density matrix blocks.
- To develop a method that relaxes the noninteracting pure-state v-representability (NI-PS-V) condition, which is linked to the Aufbau principle.
Main Methods:
- Developed an augmented Lagrangian method to facilitate the matching of density matrix blocks.
- Relaxed the strict requirement of the Aufbau principle in constructing the low-level density matrix.
Main Results:
- The augmented Lagrangian method successfully relaxed the NI-PS-V condition.
- In challenging cases, relaxing the Aufbau principle led to exact matching of density matrix blocks.
- The proposed method demonstrated improved accuracy in the 2D Hubbard and hydrogen model systems.
Conclusions:
- The developed augmented Lagrangian method provides a robust approach to overcome limitations in DMET calculations.
- Relaxing the Aufbau principle is a viable strategy for achieving accurate density matrix block matching and improving computational results.
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