variational monte carlo
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Computation ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 138
Author(s):  
Salah B. Doma ◽  
Mahmoud A. Salem ◽  
Kalidas D. Sen

The energy eigenvalues of the ground state helium atom and lowest two excited states corresponding to the configurations 1s2s embedded in the plasma environment using Hulthén, Debye–Hückel and exponential cosine screened Coulomb model potentials are investigated within the variational Monte Carlo method, starting with the ultracompact trial wave functions in the form of generalized Hylleraas–Kinoshita functions and Guevara–Harris–Turbiner functions. The Lagrange mesh method calculations of energy are reported for the He atom in the ground and excited 1S and 3S states, which are in excellent agreement with the variational Monte Carlo results. Interesting relative ordering of eigenvalues are reported corresponding to the different screened Coulomb potentials in the He ground and excited electronic states, which are rationalized in terms of the comparison theorem of quantum mechanics.


Author(s):  
Feng Zhang ◽  
Zhuo Ye ◽  
Yong-Xin Yao ◽  
Cai-Zhuang Wang ◽  
Kai-Ming Ho

Abstract We present a random-sampling (RS) method for evaluating expectation values of physical quantities using the variational approach. We demonstrate that the RS method is computationally more efficient than the variational Monte Carlo method using the Gutzwiller wavefunctions applied on single-band Hubbard models as an example. Non-local constraints can also been easily implemented in the current scheme that capture the essential physics in the limit of strong on-site repulsion. In addition, we extend the RS method to study the antiferromagnetic states with multiple variational parameters for 1D and 2D Hubbard models.


2021 ◽  
Vol 154 (12) ◽  
pp. 124108
Author(s):  
Z. Schätzle ◽  
J. Hermann ◽  
F. Noé

2021 ◽  
Vol 154 (3) ◽  
pp. 034101
Author(s):  
Shivesh Pathak ◽  
Brian Busemeyer ◽  
João N. B. Rodrigues ◽  
Lucas K. Wagner

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