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mirror of https://github.com/LCPQ/quantum_package synced 2024-12-23 04:43:50 +01:00

Introduces full_ci_dressed

This commit is contained in:
Anthony Scemama 2016-05-30 00:29:37 +02:00
parent fbd2b11fc9
commit 3781ca757e
5 changed files with 70 additions and 24 deletions

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@ -30,25 +30,8 @@ s.unset_openmp()
print s
s = H_apply("select_mono_delta_rho")
s.unset_double_excitations()
s.set_selection_pt2("delta_rho_one_point")
s.unset_openmp()
print s
s = H_apply("pt2_mono_delta_rho")
s.unset_double_excitations()
s.set_perturbation("delta_rho_one_point")
s.unset_openmp()
print s
s = H_apply("select_mono_di_delta_rho")
s.set_selection_pt2("delta_rho_one_point")
s.unset_openmp()
print s
s = H_apply("pt2_mono_di_delta_rho")
s.set_perturbation("delta_rho_one_point")
s = H_apply_zmq("FCI_PT2_dressed")
s.set_perturbation_dressed("epstein_nesbet_2x2")
s.unset_openmp()
print s

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@ -30,7 +30,7 @@ END_PROVIDER
! Hartree-Fock determinant
END_DOC
integer :: i, k
do i=1,N_det
do i=1,N_det_generators
do k=1,N_int
psi_det_generators(k,1,i) = psi_det_sorted(k,1,i)
psi_det_generators(k,2,i) = psi_det_sorted(k,2,i)

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@ -393,13 +393,10 @@ class H_apply_zmq(H_apply):
double precision, intent(inout):: pt2(N_st)
double precision, intent(inout):: norm_pert(N_st)
double precision, intent(inout):: H_pert_diag(N_st)
double precision :: delta_pt2(N_st), norm_psi(N_st), pt2_old(N_st)
PROVIDE N_det_generators
do k=1,N_st
pt2(k) = 0.d0
norm_pert(k) = 0.d0
H_pert_diag(k) = 0.d0
norm_psi(k) = 0.d0
enddo
"""
self.data["copy_buffer"] = """
@ -412,6 +409,21 @@ class H_apply_zmq(H_apply):
enddo
"""
def set_perturbation_dressed(self,pert):
H_apply.set_perturbation(self,pert)
self.data["printout_now"] = ""
self.data["printout_always"] = ""
self.data["decls_main"] = """ integer, intent(in) :: N_st
double precision, intent(inout):: pt2(N_st*N_det_generators)
double precision, intent(inout):: norm_pert(N_st*N_det_generators)
double precision, intent(inout):: H_pert_diag(N_st*N_det_generators)
"""
self.data["copy_buffer"] = """
pt2 = reshape(pt2_generators, (/ N_states * N_det_generators /))
norm_pert = reshape(norm_pert_generators, (/ N_states * N_det_generators /))
H_pert_diag = reshape(H_pert_diag_generators, (/ N_states * N_det_generators /))
"""
def set_selection_pt2(self,pert):
H_apply.set_selection_pt2(self,pert)
self.data["skip"] = """

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@ -65,6 +65,57 @@ subroutine davidson_diag(dets_in,u_in,energies,dim_in,sze,N_st,Nint,iunit)
deallocate (H_jj)
end
subroutine davidson_diag_dressed(dressing,dets_in,u_in,energies,dim_in,sze,N_st,Nint,iunit)
use bitmasks
implicit none
BEGIN_DOC
! Davidson diagonalization with diagonal dressing.
!
! dets_in : bitmasks corresponding to determinants
!
! u_in : guess coefficients on the various states. Overwritten
! on exit
!
! dim_in : leftmost dimension of u_in
!
! sze : Number of determinants
!
! N_st : Number of eigenstates
!
! iunit : Unit number for the I/O
!
! Initial guess vectors are not necessarily orthonormal
END_DOC
integer, intent(in) :: dim_in, sze, N_st, Nint, iunit
double precision, intent(in) :: dressing(dim_in)
integer(bit_kind), intent(in) :: dets_in(Nint,2,sze)
double precision, intent(inout) :: u_in(dim_in,N_st)
double precision, intent(out) :: energies(N_st)
double precision, allocatable :: H_jj(:)
double precision :: diag_h_mat_elem
integer :: i
ASSERT (N_st > 0)
ASSERT (sze > 0)
ASSERT (Nint > 0)
ASSERT (Nint == N_int)
PROVIDE mo_bielec_integrals_in_map
allocate(H_jj(sze))
!$OMP PARALLEL DEFAULT(NONE) &
!$OMP SHARED(sze,H_jj,dets_in,dressing,Nint) &
!$OMP PRIVATE(i)
!$OMP DO SCHEDULE(guided)
do i=1,sze
H_jj(i) = diag_h_mat_elem(dets_in(1,1,i),Nint) + dressing(i)
enddo
!$OMP END DO
!$OMP END PARALLEL
call davidson_diag_hjj(dets_in,u_in,H_jj,energies,dim_in,sze,N_st,Nint,iunit)
deallocate (H_jj)
end
logical function det_inf(key1, key2, Nint)
use bitmasks

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@ -1628,7 +1628,7 @@ subroutine H_u_0(v_0,u_0,H_jj,n,keys_tmp,Nint)
!$OMP PARALLEL DEFAULT(NONE) &
!$OMP PRIVATE(i,hij,j,k,jj,vt,ii,sh,sh2,ni,exa,ext,org_i,org_j,endi,sorted_i)&
!$OMP SHARED(n,H_jj,u_0,keys_tmp,Nint,v_0,sorted,shortcut,sort_idx,version)
!$OMP SHARED(n,u_0,keys_tmp,Nint,v_0,sorted,shortcut,sort_idx,version)
allocate(vt(n))
Vt = 0.d0