<jupyter_start><jupyter_text>![image](resources/qgss-header.png)  Lab 8: Quantum Chemistry In this lab, you will run through an example of a quantum chemistry problem. You will be exploring the simulation of the molecule LiH in Qiskit. You will need to follow the video associated with this lab.<jupyter_code>from qiskit.chemistry.drivers import PySCFDriver, UnitsType

molecular_coordinates = 'Li 0 0 0; H 1.6 0 0'

distance_unit = UnitsType.ANGSTROM

basis = 'sto3g'

driver = PySCFDriver(molecular_coordinates, unit=distance_unit)

molecule = driver.run()

h1 = molecule.one_body_integrals

print(h1)
h2 = molecule.two_body_integrals
print(h2)
nuclear_repulsion_energy = molecule.nuclear_repulsion_energy

print(nuclear_repulsion_energy)<jupyter_output>0.992207270475<jupyter_text>1. Creating a Fermionic Operator<jupyter_code>from qiskit.chemistry import FermionicOperator

ferOp = FermionicOperator(h1=h1, h2=h2)

num_spin_orbitals = molecule.num_orbitals * 2
num_particles = molecule.num_alpha + molecule.num_beta

freeze_list = [0,6] 

remove_list = [3,8]

ferOp_f, energy_shift = ferOp.fermion_mode_freezing(freeze_list)

num_spin_orbitals -= len(freeze_list)
num_particles -= len(freeze_list)

print(ferOp_f.h1)
ferOp_fr = ferOp_f.fermion_mode_elimination(remove_list)

num_spin_orbitals -= len(remove_list)

print(ferOp_fr.h1)<jupyter_output>[[-0.77258172  0.0485796   0.         -0.12679498  0.          0.
   0.          0.        ]
 [ 0.0485796  -0.35593954  0.          0.06813315  0.          0.
   0.          0.        ]
 [ 0.          0.         -0.35297897  0.          0.          0.
   0.          0.        ]
 [-0.12679498  0.06813315  0.         -0.236054    0.          0.
   0.          0.        ]
 [ 0.          0.          0.          0.         -0.77258172  0.0485796
   0.         -0.12679498]
 [ 0.          0.          0.          0.          0.0485796  -0.35593954
   0.          0.06813315]
 [ 0.          0.          0.          0.          0.          0.
  -0.35297897  0.        ]
 [ 0.          0.          0.          0.         -0.12679498  0.06813315
   0.         -0.236054  ]]<jupyter_text>2. Creating a Qubit Operator<jupyter_code>map_type = 'parity'

qubitOp = ferOp_fr.mapping(map_type=map_type)

print(qubitOp)
print(qubitOp.print_details())
from qiskit.aqua.operators import Z2Symmetries

pauli_symm = Z2Symmetries.find_Z2_symmetries(qubitOp)
print(pauli_symm)
qubitOp_t = Z2Symmetries.two_qubit_reduction(qubitOp, num_particles)

print(num_particles)

print(qubitOp_t)
print(qubitOp_t.print_details())
from qiskit.aqua.algorithms import NumPyEigensolver

ee = NumPyEigensolver(qubitOp_t)

result = ee.run()
ref = result['eigenvalues']

print(ref + nuclear_repulsion_energy + energy_shift)<jupyter_output>[-7.88159204+5.85950671e-17j]<jupyter_text>Creating a Variational Ansatz<jupyter_code>from qiskit.chemistry.components.initial_states import HartreeFock

init_state = HartreeFock(num_orbitals=4, num_particles=2, qubit_mapping='jordan_wigner')

print(init_state.bitstr)

HF_circuit = init_state.construct_circuit('circuit')
HF_circuit.decompose().draw(output='mpl')
from qiskit.chemistry.components.variational_forms import UCCSD

UCCSD_var_form = UCCSD(num_orbitals=4, num_particles=2, qubit_mapping='jordan_wigner',
                      excitation_type='s', method_singles='beta',
                      initial_state=init_state, two_qubit_reduction=False, reps=2)

print(UCCSD_var_form.single_excitations)
print(UCCSD_var_form.num_parameters)
var_circuit = UCCSD_var_form.construct_circuit([1,2])

var_circuit.decompose().draw(output='mpl')<jupyter_output><empty_output><jupyter_text>Homework - The last symmetry standing<jupyter_code>pauli_symm = Z2Symmetries.find_Z2_symmetries(qubitOp_t)
print(pauli_symm)<jupyter_output>Z2 symmetries:
Symmetries:
ZZIZZI
Single-Qubit Pauli X:
IIIIXI
Cliffords:
ZZIZZI	(0.7071067811865475+0j)
IIIIXI	(0.7071067811865475+0j)

Qubit index:
[1]
Tapering values:
  - Possible values: [1], [-1]
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