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# # Using External Libraries
# It is straightforward to make use of external libraries
# written in other language. For example, the following
# codes import modules from the [OpenFermion](
# and construct a qubit Hamiltonian for molecules as quantum blocks in Yao.
using Yao
using LinearAlgebra
using PyCall
# Install OpenFermion and PySCF if you don't have them
pip = pyimport("pip._internal.main")
pip.main(["install", "pyscf", "openfermion", "openfermionpyscf"])
# First we import hamiltonians from OpenFermion and PySCF
of_hamil = pyimport("openfermion.hamiltonians")
of_trsfm = pyimport("openfermion.transforms")
of_pyscf = pyimport("openfermionpyscf")
# following the OpenFermion and PySCF tutorial, we define molecules from data.
diatomic_bond_length = 1.0
geometry = [("H", (0., 0., 0.)), ("H", (0., 0., diatomic_bond_length))]
basis = "sto-3g"
multiplicity = 1
charge = 0
description = string(diatomic_bond_length)
molecule = of_hamil.MolecularData(geometry, basis, multiplicity, charge, description)
molecule = of_pyscf.run_pyscf(molecule,run_scf=1,run_fci=1)
# Then obtain its Hamiltonian
m_h = molecule.get_molecular_hamiltonian()
nbits = m_h.n_qubits
jw_h = of_trsfm.jordan_wigner(of_trsfm.get_fermion_operator(m_h))
# now, let's construct the corresponding Hamiltonian in Yao
function yao_hamiltonian(nbits, jw_h)
gates = Dict("X"=>X, "Y"=>Y, "Z"=>Z)
h = Add{nbits}()
for (k, v) in jw_h.terms
op = v*put(nbits, 1=>I2)
for t in k
site, opname = t
op = op*put(nbits, site+1=>gates[opname])
push!(h, op)
# Yah!
yao_h = yao_hamiltonian(nbits, jw_h)
# now let's try to calculate its eigen values
w, v = eigen(Matrix(yao_h))
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