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Chin. Phys. B, 2021, Vol. 30(9): 090305    DOI: 10.1088/1674-1056/ac0cdc
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An optimized cluster density matrix embedding theory

Hao Geng(耿浩) and Quan-lin Jie(揭泉林)
Department of Physics, Wuhan University, Wuhan 430072, China
Abstract  We propose an optimized cluster density matrix embedding theory (CDMET). It reduces the computational cost of CDMET with simpler bath states. And the result is as accurate as the original one. As a demonstration, we study the distant correlations of the Heisenberg J1-J2 model on the square lattice. We find that the intermediate phase (0.43≤sssim J2≤sssim 0.62) is divided into two parts. One part is a near-critical region (0.43≤J2≤0.50). The other part is the plaquette valence bond solid (PVB) state (0.51≤J2≤0.62). The spin correlations decay exponentially as a function of distance in the PVB.
Keywords:  cluster density matrix embedding theory      distant correlation      Heisenberg J1-J2 model  
Received:  19 March 2021      Revised:  09 June 2021      Accepted manuscript online:  21 June 2021
PACS:  03.65.-w (Quantum mechanics)  
Corresponding Authors:  Quan-lin Jie     E-mail:

Cite this article: 

Hao Geng(耿浩) and Quan-lin Jie(揭泉林) An optimized cluster density matrix embedding theory 2021 Chin. Phys. B 30 090305

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