Source code for pyscf.fci.direct_spin0_symm

#!/usr/bin/env python
# Copyright 2014-2019 The PySCF Developers. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Author: Qiming Sun <osirpt.sun@gmail.com>
#

'''
Different FCI solvers are implemented to support different type of symmetry.
                    Symmetry
File                Point group   Spin singlet   Real hermitian*    Alpha/beta degeneracy
direct_spin0_symm   Yes           Yes            Yes                Yes
direct_spin1_symm   Yes           No             Yes                Yes
direct_spin0        No            Yes            Yes                Yes
direct_spin1        No            No             Yes                Yes
direct_uhf          No            No             Yes                No
direct_nosym        No            No             No**               Yes

*  Real hermitian Hamiltonian implies (ij|kl) = (ji|kl) = (ij|lk) = (ji|lk)
** Hamiltonian is real but not hermitian, (ij|kl) != (ji|kl) ...
'''

import sys
import ctypes
import numpy
from pyscf import lib
from pyscf import ao2mo
from pyscf.lib import logger
from pyscf import symm
from pyscf.scf.hf_symm import map_degeneracy
from pyscf.fci import cistring
from pyscf.fci import direct_spin0
from pyscf.fci import direct_spin1
from pyscf.fci import direct_spin1_symm
from pyscf.fci import addons
from pyscf import __config__

libfci = direct_spin1.libfci

[docs] def contract_2e(eri, fcivec, norb, nelec, link_index=None, orbsym=None, wfnsym=0): link_index = direct_spin1._unpack(norb, nelec, link_index) if isinstance(link_index, numpy.ndarray): # For backward compatibility link_index = (link_index, link_index) return direct_spin1_symm.contract_2e(eri, fcivec, norb, nelec, link_index, orbsym, wfnsym)
energy = direct_spin1_symm.energy kernel = direct_spin1_symm.kernel make_rdm1 = direct_spin0.make_rdm1 make_rdm1s = direct_spin0.make_rdm1s make_rdm12 = direct_spin0.make_rdm12 trans_rdm1s = direct_spin0.trans_rdm1s trans_rdm1 = direct_spin0.trans_rdm1 trans_rdm12 = direct_spin0.trans_rdm12
[docs] def get_init_guess(norb, nelec, nroots, hdiag, orbsym, wfnsym=0): neleca, nelecb = direct_spin1._unpack_nelec(nelec) assert (neleca == nelecb) strsa = cistring.gen_strings4orblist(range(norb), neleca) na = len(strsa) airreps = direct_spin1_symm._gen_strs_irrep(strsa, orbsym) sym_allowed = (airreps[:,None] ^ airreps) == wfnsym idx = numpy.arange(na) sym_allowed[idx[:,None] < idx] = False idx_a, idx_b = numpy.where(sym_allowed) hdiag = hdiag.reshape(na,na)[idx_a,idx_b] if hdiag.size <= nroots: hdiag_indices = numpy.arange(hdiag.size) else: hdiag_indices = numpy.argpartition(hdiag, nroots-1)[:nroots] ci0 = [] for k in hdiag_indices: addra, addrb = idx_a[k], idx_b[k] x = numpy.zeros((na, na)) if addra == addrb: x[addra,addrb] = 1 else: x[addra,addrb] = x[addrb,addra] = numpy.sqrt(.5) ci0.append(x.ravel().view(direct_spin1.FCIvector)) if len(ci0) == 0: raise lib.exceptions.WfnSymmetryError( f'Initial guess for symmetry {wfnsym} not found') return ci0
[docs] def get_init_guess_cyl_sym(norb, nelec, nroots, hdiag, orbsym, wfnsym=0): neleca, nelecb = direct_spin1._unpack_nelec(nelec) na = cistring.num_strings(norb, neleca) ci0_guess = direct_spin1_symm.get_init_guess_cyl_sym( norb, nelec, nroots, hdiag, orbsym, wfnsym) ci0 = [] for x in ci0_guess: x = x.reshape(na, na) x = x + x.T norm = numpy.linalg.norm(x) if norm < 1e-3: continue x *= 1./norm ci0.append(x.ravel().view(direct_spin1.FCIvector)) if len(ci0) == 0: raise lib.exceptions.WfnSymmetryError( f'Initial guess for symmetry {wfnsym} not found') return ci0
[docs] class FCISolver(direct_spin0.FCISolver): _keys = {'wfnsym', 'sym_allowed_idx'} davidson_only = getattr(__config__, 'fci_direct_spin1_symm_FCI_davidson_only', True) pspace_size = getattr(__config__, 'fci_direct_spin1_symm_FCI_pspace_size', 400) def __init__(self, mol=None, **kwargs): # wfnsym will be guessed based on initial guess if it is None self.wfnsym = None self.sym_allowed_idx = None direct_spin0.FCISolver.__init__(self, mol, **kwargs) absorb_h1e = direct_spin1.FCISolver.absorb_h1e dump_flags = direct_spin1_symm.FCISolver.dump_flags make_hdiag = direct_spin1_symm.FCISolver.make_hdiag pspace = direct_spin1_symm.FCISolver.pspace contract_1e = direct_spin1_symm.FCISolver.contract_1e contract_ss = direct_spin1_symm.FCISolver.contract_ss guess_wfnsym = direct_spin1_symm.guess_wfnsym kernel = direct_spin1_symm.FCISolver.kernel
[docs] def contract_2e(self, eri, fcivec, norb, nelec, link_index=None, orbsym=None, wfnsym=None, **kwargs): if orbsym is None: orbsym = self.orbsym if wfnsym is None: wfnsym = self.wfnsym wfnsym = direct_spin1_symm._id_wfnsym(self, norb, nelec, orbsym, wfnsym) nelec = direct_spin1._unpack_nelec(nelec, self.spin) civec = contract_2e(eri, fcivec, norb, nelec, link_index, orbsym, wfnsym) na = cistring.num_strings(norb, nelec[0]) if civec.size != na**2: s_idx = numpy.hstack(self.sym_allowed_idx) x, y = divmod(s_idx, na) ci1 = numpy.empty(na**2) ci1[y*na+x] = civec civec += ci1[s_idx] civec *= .5 else: civec = lib.transpose_sum(civec.reshape(na,na), inplace=True) civec *= .5 return civec
[docs] def get_init_guess(self, norb, nelec, nroots, hdiag, orbsym=None, wfnsym=None): if orbsym is None: orbsym = self.orbsym if wfnsym is None: wfnsym = direct_spin1_symm._id_wfnsym( self, norb, nelec, orbsym, self.wfnsym) s_idx = numpy.hstack(self.sym_allowed_idx) if getattr(self.mol, 'groupname', None) in ('Dooh', 'Coov'): ci0 = get_init_guess_cyl_sym( norb, nelec, nroots, hdiag, orbsym, wfnsym) else: nelec = direct_spin1._unpack_nelec(nelec, self.spin) na = cistring.num_strings(norb, nelec[0]) if hdiag.size != na * na: hdiag, hdiag0 = numpy.empty(na*na), hdiag hdiag[:] = 1e9 hdiag[numpy.hstack(self.sym_allowed_idx)] = hdiag0 ci0 = get_init_guess(norb, nelec, nroots, hdiag.ravel(), orbsym, wfnsym) return [x[s_idx] for x in ci0]
FCI = FCISolver