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https://github.com/LCPQ/quantum_package
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Optimized ninja
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0112cf20f3
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@ -212,7 +212,7 @@ subroutine dress_H_matrix_from_psi_det_input(psi_det_generators_input,Ndet_gener
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integer :: n_state_good
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n_state_good = 0
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if(s2_eig)then
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call u_0_S2_u_0_nstates(s2,eigvectors,Ndet_generators,psi_det_generators_input,N_int,N_det_generators,size(eigvectors,1))
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call u_0_S2_u_0(s2,eigvectors,Ndet_generators,psi_det_generators_input,N_int,N_det_generators,size(eigvectors,1))
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do i = 1, Ndet_generators
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print*,'s2 = ',s2(i)
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print*,dabs(s2(i)-expected_s2)
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@ -63,7 +63,7 @@ subroutine update_energy(energy)
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CI_eigenvectors(k,j) = psi_coef(k,j)
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enddo
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enddo
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call u_0_S2_u_0_nstates(CI_eigenvectors_s2,CI_eigenvectors,N_det,psi_det,N_int)
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call u_0_S2_u_0(CI_eigenvectors_s2,CI_eigenvectors,N_det,psi_det,N_int)
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if (.True.) then
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do k=1,size(ci_electronic_energy)
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ci_electronic_energy(k) = energy(k)
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@ -150,7 +150,7 @@ END_PROVIDER
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call davidson_diag_mrcc(psi_det,CI_eigenvectors_dressed,CI_electronic_energy_dressed,&
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size(CI_eigenvectors_dressed,1),N_det,N_states_diag,N_int,output_determinants,mrcc_state)
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call u_0_S2_u_0_nstates(CI_eigenvectors_s2_dressed,CI_eigenvectors_dressed,N_det,psi_det,N_int,&
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call u_0_S2_u_0(CI_eigenvectors_s2_dressed,CI_eigenvectors_dressed,N_det,psi_det,N_int,&
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N_states_diag,size(CI_eigenvectors_dressed,1))
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@ -166,7 +166,7 @@ END_PROVIDER
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allocate (s2_eigvalues(N_det))
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allocate(index_good_state_array(N_det),good_state_array(N_det))
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good_state_array = .False.
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call u_0_S2_u_0_nstates(s2_eigvalues,eigenvectors,N_det,psi_det,N_int,&
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call u_0_S2_u_0(s2_eigvalues,eigenvectors,N_det,psi_det,N_int,&
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N_det,size(eigenvectors,1))
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do j=1,N_det
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! Select at least n_states states with S^2 values closed to "expected_s2"
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@ -223,7 +223,7 @@ END_PROVIDER
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deallocate(index_good_state_array,good_state_array)
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deallocate(s2_eigvalues)
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else
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call u_0_S2_u_0_nstates(CI_eigenvectors_s2_dressed,eigenvectors,N_det,psi_det,N_int,&
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call u_0_S2_u_0(CI_eigenvectors_s2_dressed,eigenvectors,N_det,psi_det,N_int,&
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min(N_det,N_states_diag),size(eigenvectors,1))
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! Select the "N_states_diag" states of lowest energy
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do j=1,min(N_det,N_states_diag)
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@ -788,9 +788,17 @@ def create_build_ninja_global():
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" command = module_handler.py clean --all",
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" description = Cleaning all modules", ""]
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l_string += ["rule make_ocaml",
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" command = make -C {0}/ocaml".format(QP_ROOT),
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" pool = console",
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" description = Compiling OCaml tools",
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""]
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l_string += ["build dummy_target: update_build_ninja_root",
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"build ocaml_target: make_ocaml",
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"",
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"build all: make_all dummy_target",
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"build all: make_all dummy_target ocaml_target",
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"default all",
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"",
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"build clean: make_clean dummy_target",
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@ -11,7 +11,7 @@ fi
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cd ${QP_ROOT}/data
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rm -f executables
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EXES=$(find -L ${QP_ROOT}/src -executable -type f | grep -e "${QP_ROOT}/src/[^/]*/[^/]*$" |sort )
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EXES=$(find -L ${QP_ROOT}/src -maxdepth 2 -depth -executable -type f | grep -e "${QP_ROOT}/src/[^/]*/[^/]*$" |sort )
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for EXE in $EXES
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do
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@ -56,7 +56,7 @@ END_PROVIDER
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call davidson_diag(psi_det,CI_eigenvectors,CI_electronic_energy,&
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size(CI_eigenvectors,1),N_det,N_states_diag,N_int,output_determinants)
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call u_0_S2_u_0_nstates(CI_eigenvectors_s2,CI_eigenvectors,N_det,psi_det,N_int,&
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call u_0_S2_u_0(CI_eigenvectors_s2,CI_eigenvectors,N_det,psi_det,N_int,&
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N_states_diag,size(CI_eigenvectors,1))
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@ -72,7 +72,7 @@ END_PROVIDER
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allocate (s2_eigvalues(N_det))
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allocate(index_good_state_array(N_det),good_state_array(N_det))
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good_state_array = .False.
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call u_0_S2_u_0_nstates(s2_eigvalues,eigenvectors,N_det,psi_det,N_int,&
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call u_0_S2_u_0(s2_eigvalues,eigenvectors,N_det,psi_det,N_int,&
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N_det,size(eigenvectors,1))
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do j=1,N_det
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! Select at least n_states states with S^2 values closed to "expected_s2"
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@ -129,7 +129,7 @@ END_PROVIDER
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deallocate(index_good_state_array,good_state_array)
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deallocate(s2_eigvalues)
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else
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call u_0_S2_u_0_nstates(CI_eigenvectors_s2,eigenvectors,N_det,psi_det,N_int,&
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call u_0_S2_u_0(CI_eigenvectors_s2,eigenvectors,N_det,psi_det,N_int,&
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min(N_det,N_states_diag),size(eigenvectors,1))
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! Select the "N_states_diag" states of lowest energy
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do j=1,min(N_det,N_states_diag)
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@ -153,7 +153,7 @@ END_PROVIDER
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psi_coef(i,j) = CI_eigenvectors(i,j)
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enddo
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enddo
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call u_0_H_u_0_nstates(e_array,psi_coef,n_det,psi_det,N_int,N_states_diag,psi_det_size)
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call u_0_H_u_0(e_array,psi_coef,n_det,psi_det,N_int,N_states_diag,psi_det_size)
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! Browsing the "n_states_diag" states and getting the lowest in energy "n_states" ones that have the S^2 value
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! closer to the "expected_s2" set as input
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@ -1,4 +1,4 @@
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subroutine u_0_H_u_0_nstates(e_0,u_0,n,keys_tmp,Nint,N_st,sze_8)
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subroutine u_0_H_u_0(e_0,u_0,n,keys_tmp,Nint,N_st,sze_8)
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use bitmasks
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implicit none
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BEGIN_DOC
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@ -158,6 +158,6 @@ BEGIN_PROVIDER [ double precision, psi_energy, (N_states) ]
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BEGIN_DOC
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! Energy of the current wave function
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END_DOC
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call u_0_H_u_0_nstates(psi_energy,psi_coef,N_det,psi_det,N_int,N_states,psi_det_size)
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call u_0_H_u_0(psi_energy,psi_coef,N_det,psi_det,N_int,N_states,psi_det_size)
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END_PROVIDER
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@ -69,13 +69,13 @@ BEGIN_PROVIDER [ double precision, s2_values, (N_states) ]
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! array of the averaged values of the S^2 operator on the various states
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END_DOC
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integer :: i
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call u_0_S2_u_0_nstates(s2_values,psi_coef,n_det,psi_det,N_int,N_states,psi_det_size)
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call u_0_S2_u_0(s2_values,psi_coef,n_det,psi_det,N_int,N_states,psi_det_size)
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END_PROVIDER
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subroutine u_0_S2_u_0_nstates(e_0,u_0,n,keys_tmp,Nint,N_st,sze_8)
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subroutine u_0_S2_u_0(e_0,u_0,n,keys_tmp,Nint,N_st,sze_8)
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use bitmasks
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implicit none
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BEGIN_DOC
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