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Dynamics of the two-spin spin-boson model with a common bath
Tianrui Deng1, Yiying Yan1, Lipeng Chen1
1Division of Materials Science, Nanyang Technological University, Singapore 639798, Singapore.
The multi-D1 Ansatz accurately simulates spin-boson model dynamics, outperforming previous methods in weak to moderate coupling. This approach offers improved insights into quantum system evolution, especially in sub-Ohmic baths.
Area of Science:
- Quantum mechanics
- Condensed matter physics
Background:
- The spin-boson model (SBM) is crucial for understanding quantum systems interacting with their environment.
- Accurate simulation of SBM dynamics is essential for predicting system behavior.
Purpose of the Study:
- To investigate the dynamics of the two-spin spin-boson model using an advanced simulation technique.
- To assess the accuracy and validity of the multi-D1 Ansatz across different coupling regimes and bath types.
Main Methods:
- Employed the multi-Davydov D1 Ansatz (multi-D1 Ansatz) for dynamics simulations.
- Systematically examined the Ansatz's validity using a deviation vector.
- Studied time evolution of population difference and entanglement.
- Compared results with time-dependent numerical renormalization group (TD-NRG), Bloch-Redfield theory, and variational master equation methods.
Main Results:
- The multi-D1 Ansatz shows improved accuracy over the single D1 Ansatz, particularly in weak to moderate coupling.
- In the strong coupling Ohmic bath regime, results align with TD-NRG.
- In the strong coupling sub-Ohmic bath regime, the multi-D1 Ansatz is more accurate than TD-NRG.
- In the weak coupling regime, the multi-D1 Ansatz agrees with master-equation methods but differs from TD-NRG in sub-Ohmic baths.
Conclusions:
- The multi-D1 Ansatz provides a reliable and accurate method for simulating two-spin spin-boson model dynamics.
- The study highlights potential limitations of TD-NRG in sub-Ohmic bath scenarios at long times.
- This work offers a more accurate computational tool for quantum dynamics research.
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