def test_H4_spqe_exact(self):
print('\n')
# The FCI energy for H4 at 0.75 Angstrom in a sto-6g basis
Efci = -2.1628978832666865
# The Nuclear repulsion energy
Enuc = 3.057468328315556
mol = system_factory(stytem_type = 'molecule',
build_type = 'external',
basis='sto-6g',
filename=data_path)
Hnonzero = qforte.QuantumOperator()
for term in mol._hamiltonian.terms():
if abs(term[0]) > 1.0e-14:
Hnonzero.add_term(term[0], term[1])
mol._hamiltonian = Hnonzero
qforte.smart_print(Hnonzero)
alg = SPQE(mol, print_summary_file=False)
alg.run(spqe_maxiter=20,
spqe_thresh=1.0e-4,
res_vec_thresh=1.0e-5,
dt = 0.0001)
Egs_elec = alg.get_gs_energy()
# Egs = Egs_elec + Enuc
Egs = Egs_elec
self.assertLess(abs(Egs-Efci), 5.0e-11)
def test_trotterization(self):
circ_vec = [qforte.QuantumCircuit(), qforte.build_circuit('Z_0')]
coef_vec = [-1.0j * 0.5, -1.0j * -0.04544288414432624]
# the operator to be exponentiated
minus_iH = qforte.QuantumOperator()
for i in range(len(circ_vec)):
minus_iH.add_term(coef_vec[i], circ_vec[i])
# exponentiate the operator
Utrot, phase = qforte.trotterization.trotterize(minus_iH)
inital_state = np.zeros(2**4, dtype=complex)
inital_state[3] = np.sqrt(2 / 3)
inital_state[12] = -np.sqrt(1 / 3)
# initalize a quantum computer with above coeficients
# i.e. ca|1100> + cb|0011>
qc = qforte.QuantumComputer(4)
qc.set_coeff_vec(inital_state)
# apply the troterized minus_iH
qc.apply_circuit(Utrot)
qc.apply_constant(phase)
qforte.smart_print(qc)
coeffs = qc.get_coeff_vec()
self.assertAlmostEqual(np.real(coeffs[3]), 0.6980209737879599)
self.assertAlmostEqual(np.imag(coeffs[3]), -0.423595782342996)
self.assertAlmostEqual(np.real(coeffs[12]), -0.5187235657531178)
self.assertAlmostEqual(np.imag(coeffs[12]), 0.25349397560041553)
def test_H2(self):
print('\n'),
# The FCI energy for H2 at 1.5 Angstrom in a sto-3g basis
E_fci = -0.9981493534
coef_vec = [-0.4917857774144603,
0.09345649662931771,
0.09345649662931771,
-0.0356448161226769,
-0.0356448161226769,
0.1381758457453024,
0.05738398402634884,
-0.0573839840263488,
-0.0573839840263488,
0.05738398402634884,
0.08253705485911705,
0.13992103888546592,
0.13992103888546592,
0.08253705485911705,
0.1458551902800438]
circ_vec = [
qforte.QuantumCircuit( ),
qforte.build_circuit( 'Z_0' ),
qforte.build_circuit( 'Z_1' ),
qforte.build_circuit( 'Z_2' ),
qforte.build_circuit( 'Z_3' ),
qforte.build_circuit( 'Z_0 Z_1' ),
qforte.build_circuit( 'Y_0 X_1 X_2 Y_3' ),
qforte.build_circuit( 'X_0 X_1 Y_2 Y_3' ),
qforte.build_circuit( 'Y_0 Y_1 X_2 X_3' ),
qforte.build_circuit( 'X_0 Y_1 Y_2 X_3' ),
qforte.build_circuit( 'Z_0 Z_2' ),
qforte.build_circuit( 'Z_0 Z_3' ),
qforte.build_circuit( 'Z_1 Z_2' ),
qforte.build_circuit( 'Z_1 Z_3' ),
qforte.build_circuit( 'Z_2 Z_3' )]
H2_qubit_hamiltonian = qforte.QuantumOperator()
for i in range(len(circ_vec)):
H2_qubit_hamiltonian.add_term(coef_vec[i], circ_vec[i])
ref = [1,1,0,0]
print('\nBegin QPE test for H2')
print('----------------------')
# make test with algorithm class
mol = Molecule()
mol.set_hamiltonian(H2_qubit_hamiltonian)
alg = QPE(mol, reference=ref, trotter_number=2)
alg.run(t = 0.4,
nruns = 100,
success_prob = 0.5,
num_precise_bits = 8)
Egs = alg.get_gs_energy()
self.assertLess(abs(Egs-E_fci), 1.1e-3)
def test_trotterization_with_controlled_U(self):
circ_vec = [
qforte.build_circuit('Y_0 X_1'),
qforte.build_circuit('X_0 Y_1')
]
coef_vec = [-1.0719145972781818j, 1.0719145972781818j]
# the operator to be exponentiated
minus_iH = qforte.QuantumOperator()
for i in range(len(circ_vec)):
minus_iH.add_term(coef_vec[i], circ_vec[i])
ancilla_idx = 2
# exponentiate the operator
Utrot, phase = qforte.trotterization.trotterize_w_cRz(
minus_iH, ancilla_idx)
# Case 1: positive control
# initalize a quantum computer
qc = qforte.QuantumComputer(3)
# build HF state
qc.apply_gate(qforte.gate('X', 0, 0))
# put ancilla in |1> state
qc.apply_gate(qforte.gate('X', 2, 2))
# apply the troterized minus_iH
qc.apply_circuit(Utrot)
qforte.smart_print(qc)
coeffs = qc.get_coeff_vec()
self.assertAlmostEqual(coeffs[5], -0.5421829373 + 0.0j)
self.assertAlmostEqual(coeffs[6], -0.840260473 + 0.0j)
# Case 2: negitive control
# initalize a quantum computer
qc = qforte.QuantumComputer(3)
# build HF state
qc.apply_gate(qforte.gate('X', 0, 0))
# apply the troterized minus_iH
qc.apply_circuit(Utrot)
qforte.smart_print(qc)
coeffs = qc.get_coeff_vec()
self.assertAlmostEqual(coeffs[1], 1.0 + 0.0j)
def test_H2_experiment_perfect(self):
print('\n')
#the RHF H2 energy at equilibrium bond length
E_hf = -1.1166843870661929
#the H2 qubit hamiltonian
circ_vec = [
qforte.QuantumCircuit(),
qforte.build_circuit('Z_0'),
qforte.build_circuit('Z_1'),
qforte.build_circuit('Z_2'),
qforte.build_circuit('Z_3'),
qforte.build_circuit('Z_0 Z_1'),
qforte.build_circuit('Y_0 X_1 X_2 Y_3'),
qforte.build_circuit('Y_0 Y_1 X_2 X_3'),
qforte.build_circuit('X_0 X_1 Y_2 Y_3'),
qforte.build_circuit('X_0 Y_1 Y_2 X_3'),
qforte.build_circuit('Z_0 Z_2'),
qforte.build_circuit('Z_0 Z_3'),
qforte.build_circuit('Z_1 Z_2'),
qforte.build_circuit('Z_1 Z_3'),
qforte.build_circuit('Z_2 Z_3')
]
coef_vec = [
-0.098863969784274, 0.1711977489805748, 0.1711977489805748,
-0.222785930242875, -0.222785930242875, 0.1686221915724993,
0.0453222020577776, -0.045322202057777, -0.045322202057777,
0.0453222020577776, 0.1205448220329002, 0.1658670240906778,
0.1658670240906778, 0.1205448220329002, 0.1743484418396386
]
H2_qubit_hamiltonian = qforte.QuantumOperator()
for i in range(len(circ_vec)):
H2_qubit_hamiltonian.add_term(coef_vec[i], circ_vec[i])
# circuit for making HF state
circ = qforte.QuantumCircuit()
circ.add_gate(qforte.gate('X', 0, 0))
circ.add_gate(qforte.gate('X', 1, 1))
TestExperiment = qforte.Experiment(4, circ, H2_qubit_hamiltonian,
1000000)
params2 = []
avg_energy = TestExperiment.perfect_experimental_avg(params2)
print('Perfectly Measured H2 Experimental Avg. Energy')
print(avg_energy)
print('H2 RHF Energy')
print(E_hf)
experimental_error = abs(avg_energy - E_hf)
self.assertAlmostEqual(experimental_error, 0.0)
def test_op_exp_val_1(self):
# test direct expectation value measurement
trial_state = qforte.QuantumComputer(4)
trial_prep = [None] * 5
trial_prep[0] = qforte.gate('H', 0, 0)
trial_prep[1] = qforte.gate('H', 1, 1)
trial_prep[2] = qforte.gate('H', 2, 2)
trial_prep[3] = qforte.gate('H', 3, 3)
trial_prep[4] = qforte.gate('cX', 0, 1)
trial_circ = qforte.QuantumCircuit()
#prepare the circuit
for gate in trial_prep:
trial_circ.add_gate(gate)
# use circuit to prepare trial state
trial_state.apply_circuit(trial_circ)
# gates needed for [a1^ a2] operator
X1 = qforte.gate('X', 1, 1)
X2 = qforte.gate('X', 2, 2)
Y1 = qforte.gate('Y', 1, 1)
Y2 = qforte.gate('Y', 2, 2)
# initialize circuits to make operator
circ1 = qforte.QuantumCircuit()
circ1.add_gate(X2)
circ1.add_gate(Y1)
circ2 = qforte.QuantumCircuit()
circ2.add_gate(Y2)
circ2.add_gate(Y1)
circ3 = qforte.QuantumCircuit()
circ3.add_gate(X2)
circ3.add_gate(X1)
circ4 = qforte.QuantumCircuit()
circ4.add_gate(Y2)
circ4.add_gate(X1)
#build the quantum operator for [a1^ a2]
a1_dag_a2 = qforte.QuantumOperator()
a1_dag_a2.add_term(0.0 - 0.25j, circ1)
a1_dag_a2.add_term(0.25, circ2)
a1_dag_a2.add_term(0.25, circ3)
a1_dag_a2.add_term(0.0 + 0.25j, circ4)
#get direct expectatoin value
exp = trial_state.direct_op_exp_val(a1_dag_a2)
self.assertAlmostEqual(exp, 0.2499999999999999 + 0.0j)
def test_jw1(self):
"""
test JW transform of 1.0(2^ 3^ 4 6) + 1.5(1^ 2^ 3 4)
"""
coeff_vec = [
-0.093750,
+0.093750j,
-0.093750,
-0.093750j,
-0.093750,
-0.093750j,
+0.062500j,
-0.093750,
-0.093750,
+0.093750j,
+0.093750,
-0.062500,
-0.093750j,
-0.062500j,
+0.062500j,
-0.062500,
+0.062500,
+0.062500,
-0.062500j,
-0.093750,
+0.062500j,
-0.062500,
-0.062500j,
-0.062500,
+0.093750j,
+0.093750j,
+0.062500j,
+0.093750,
-0.062500,
-0.062500,
-0.093750j,
-0.062500j
]
circ_vec = [
qforte.build_circuit('X_1 Y_2 X_3 Y_4'),
qforte.build_circuit('X_1 Y_2 X_3 X_4'),
qforte.build_circuit('X_1 Y_2 Y_3 X_4'),
qforte.build_circuit('X_1 X_2 X_3 Y_4'),
qforte.build_circuit('X_1 X_2 X_3 X_4'),
qforte.build_circuit('X_1 X_2 Y_3 X_4'),
qforte.build_circuit('Y_2 X_3 X_4 Z_5 X_6'),
qforte.build_circuit('Y_1 Y_2 Y_3 Y_4'),
qforte.build_circuit('Y_1 X_2 X_3 Y_4'),
qforte.build_circuit('Y_1 X_2 X_3 X_4'),
qforte.build_circuit('Y_1 Y_2 X_3 X_4'),
qforte.build_circuit('X_2 X_3 X_4 Z_5 X_6'),
qforte.build_circuit('Y_1 X_2 Y_3 Y_4'),
qforte.build_circuit('X_2 Y_3 Y_4 Z_5 Y_6'),
qforte.build_circuit('X_2 Y_3 X_4 Z_5 X_6'),
qforte.build_circuit('X_2 Y_3 Y_4 Z_5 X_6'),
qforte.build_circuit('X_2 X_3 Y_4 Z_5 Y_6'),
qforte.build_circuit('Y_2 Y_3 X_4 Z_5 X_6'),
qforte.build_circuit('X_2 X_3 Y_4 Z_5 X_6'),
qforte.build_circuit('Y_1 X_2 Y_3 X_4'),
qforte.build_circuit('Y_2 Y_3 X_4 Z_5 Y_6'),
qforte.build_circuit('Y_2 X_3 X_4 Z_5 Y_6'),
qforte.build_circuit('X_2 X_3 X_4 Z_5 Y_6'),
qforte.build_circuit('X_2 Y_3 X_4 Z_5 Y_6'),
qforte.build_circuit('Y_1 Y_2 Y_3 X_4'),
qforte.build_circuit('Y_1 Y_2 X_3 Y_4'),
qforte.build_circuit('Y_2 Y_3 Y_4 Z_5 X_6'),
qforte.build_circuit('X_1 X_2 Y_3 Y_4'),
qforte.build_circuit('Y_2 Y_3 Y_4 Z_5 Y_6'),
qforte.build_circuit('Y_2 X_3 Y_4 Z_5 X_6'),
qforte.build_circuit('X_1 Y_2 Y_3 Y_4'),
qforte.build_circuit('Y_2 X_3 Y_4 Z_5 Y_6')
]
correct_op = qforte.QuantumOperator()
for i in range(len(circ_vec)):
correct_op.add_term(coeff_vec[i], circ_vec[i])
# Test qforte construction
a1 = qforte.SQOperator()
a1.add_term(1.00, [ 2, 3, 4, 6] )
a1.add_term(+1.50, [ 1, 2, 3, 4])
print(a1.str(), '\n')
aop = a1.jw_transform()
print(aop.str(), '\n')
self.assertTrue(aop.check_op_equivalence(correct_op, True))
def test_H4_physical_qkd(self):
print('\n')
# The FCI energy for H4 at 1.5 Angstrom in a sto-6g basis
E_fci = -2.0126741263939656
# The He hamilitonian
circ_vec = [
qforte.QuantumCircuit(),
qforte.build_circuit('Z_0'),
qforte.build_circuit('Y_0 Z_1 Z_2 Z_3 Y_4'),
qforte.build_circuit('X_0 Z_1 Z_2 Z_3 X_4'),
qforte.build_circuit('Z_1'),
qforte.build_circuit('Y_1 Z_2 Z_3 Z_4 Y_5'),
qforte.build_circuit('X_1 Z_2 Z_3 Z_4 X_5'),
qforte.build_circuit('Z_2'),
qforte.build_circuit('Y_2 Z_3 Z_4 Z_5 Y_6'),
qforte.build_circuit('X_2 Z_3 Z_4 Z_5 X_6'),
qforte.build_circuit('Z_3'),
qforte.build_circuit('Y_3 Z_4 Z_5 Z_6 Y_7'),
qforte.build_circuit('X_3 Z_4 Z_5 Z_6 X_7'),
qforte.build_circuit('Z_4'),
qforte.build_circuit('Z_5'),
qforte.build_circuit('Z_6'),
qforte.build_circuit('Z_7'),
qforte.build_circuit('Z_0 Z_1'),
qforte.build_circuit('Y_0 Z_2 Z_3 Y_4'),
qforte.build_circuit('X_0 Z_2 Z_3 X_4'),
qforte.build_circuit('Y_0 X_1 X_2 Y_3'),
qforte.build_circuit('X_0 X_1 Y_2 Y_3'),
qforte.build_circuit('Y_0 Y_1 X_2 X_3'),
qforte.build_circuit('X_0 Y_1 Y_2 X_3'),
qforte.build_circuit('Y_0 X_1 X_3 Z_4 Z_5 Y_6'),
qforte.build_circuit('X_0 X_1 X_3 Z_4 Z_5 X_6'),
qforte.build_circuit('Y_0 Y_1 Y_3 Z_4 Z_5 Y_6'),
qforte.build_circuit('X_0 Y_1 Y_3 Z_4 Z_5 X_6'),
qforte.build_circuit('Z_0 Y_1 Z_2 Z_3 Z_4 Y_5'),
qforte.build_circuit('Z_0 X_1 Z_2 Z_3 Z_4 X_5'),
qforte.build_circuit('Y_0 X_1 X_4 Y_5'),
qforte.build_circuit('X_0 X_1 Y_4 Y_5'),
qforte.build_circuit('Y_0 Y_1 X_4 X_5'),
qforte.build_circuit('X_0 Y_1 Y_4 X_5'),
qforte.build_circuit('Y_0 X_1 X_2 Z_3 Z_4 Z_5 Z_6 Y_7'),
qforte.build_circuit('X_0 X_1 Y_2 Z_3 Z_4 Z_5 Z_6 Y_7'),
qforte.build_circuit('Y_0 Y_1 X_2 Z_3 Z_4 Z_5 Z_6 X_7'),
qforte.build_circuit('X_0 Y_1 Y_2 Z_3 Z_4 Z_5 Z_6 X_7'),
qforte.build_circuit('Y_0 X_1 X_6 Y_7'),
qforte.build_circuit('X_0 X_1 Y_6 Y_7'),
qforte.build_circuit('Y_0 Y_1 X_6 X_7'),
qforte.build_circuit('X_0 Y_1 Y_6 X_7'),
qforte.build_circuit('Z_0 Z_2'),
qforte.build_circuit('Z_0 Y_2 Z_3 Z_4 Z_5 Y_6'),
qforte.build_circuit('Z_0 X_2 Z_3 Z_4 Z_5 X_6'),
qforte.build_circuit('Y_0 Z_1 Z_3 Y_4'),
qforte.build_circuit('X_0 Z_1 Z_3 X_4'),
qforte.build_circuit('Y_0 Z_1 X_2 X_4 Z_5 Y_6'),
qforte.build_circuit('X_0 Z_1 X_2 X_4 Z_5 X_6'),
qforte.build_circuit('X_0 Z_1 X_2 Y_4 Z_5 Y_6'),
qforte.build_circuit('Y_0 Z_1 Y_2 X_4 Z_5 X_6'),
qforte.build_circuit('Y_0 Z_1 Y_2 Y_4 Z_5 Y_6'),
qforte.build_circuit('X_0 Z_1 Y_2 Y_4 Z_5 X_6'),
qforte.build_circuit('Z_0 Z_3'),
qforte.build_circuit('Y_0 Z_1 Z_2 Y_4'),
qforte.build_circuit('X_0 Z_1 Z_2 X_4'),
qforte.build_circuit('Y_0 Z_1 Y_2 Y_3 Z_4 Y_5'),
qforte.build_circuit('X_0 Z_1 X_2 Y_3 Z_4 Y_5'),
qforte.build_circuit('Y_0 Z_1 Y_2 X_3 Z_4 X_5'),
qforte.build_circuit('X_0 Z_1 X_2 X_3 Z_4 X_5'),
qforte.build_circuit('Y_0 Z_1 Z_2 X_3 X_5 Y_6'),
qforte.build_circuit('X_0 Z_1 Z_2 X_3 X_5 X_6'),
qforte.build_circuit('Y_0 Z_1 Z_2 Y_3 Y_5 Y_6'),
qforte.build_circuit('X_0 Z_1 Z_2 Y_3 Y_5 X_6'),
qforte.build_circuit('Z_0 Y_3 Z_4 Z_5 Z_6 Y_7'),
qforte.build_circuit('Z_0 X_3 Z_4 Z_5 Z_6 X_7'),
qforte.build_circuit('Y_0 Z_1 Z_2 X_3 X_4 Z_5 Z_6 Y_7'),
qforte.build_circuit('X_0 Z_1 Z_2 X_3 Y_4 Z_5 Z_6 Y_7'),
qforte.build_circuit('Y_0 Z_1 Z_2 Y_3 X_4 Z_5 Z_6 X_7'),
qforte.build_circuit('X_0 Z_1 Z_2 Y_3 Y_4 Z_5 Z_6 X_7'),
qforte.build_circuit('Z_0 Z_4'),
qforte.build_circuit('Z_0 Z_5'),
qforte.build_circuit('Y_0 Z_1 Z_2 Z_3 Y_4 Z_5'),
qforte.build_circuit('X_0 Z_1 Z_2 Z_3 X_4 Z_5'),
qforte.build_circuit('Y_0 Z_1 Y_2 Y_5 Z_6 Y_7'),
qforte.build_circuit('X_0 Z_1 X_2 Y_5 Z_6 Y_7'),
qforte.build_circuit('Y_0 Z_1 Y_2 X_5 Z_6 X_7'),
qforte.build_circuit('X_0 Z_1 X_2 X_5 Z_6 X_7'),
qforte.build_circuit('Y_0 Z_1 Z_2 Z_3 Z_4 X_5 X_6 Y_7'),
qforte.build_circuit('X_0 Z_1 Z_2 Z_3 Z_4 X_5 Y_6 Y_7'),
qforte.build_circuit('Y_0 Z_1 Z_2 Z_3 Z_4 Y_5 X_6 X_7'),
qforte.build_circuit('X_0 Z_1 Z_2 Z_3 Z_4 Y_5 Y_6 X_7'),
qforte.build_circuit('Z_0 Z_6'),
qforte.build_circuit('Y_0 Z_1 Z_2 Z_3 Y_4 Z_6'),
qforte.build_circuit('X_0 Z_1 Z_2 Z_3 X_4 Z_6'),
qforte.build_circuit('Z_0 Z_7'),
qforte.build_circuit('Y_0 Z_1 Z_2 Z_3 Y_4 Z_7'),
qforte.build_circuit('X_0 Z_1 Z_2 Z_3 X_4 Z_7'),
qforte.build_circuit('Z_1 Z_2'),
qforte.build_circuit('Y_1 Z_3 Z_4 Y_5'),
qforte.build_circuit('X_1 Z_3 Z_4 X_5'),
qforte.build_circuit('Y_1 X_2 X_3 Y_4'),
qforte.build_circuit('X_1 X_2 Y_3 Y_4'),
qforte.build_circuit('Y_1 Y_2 X_3 X_4'),
qforte.build_circuit('X_1 Y_2 Y_3 X_4'),
qforte.build_circuit('Y_1 X_2 X_4 Z_5 Z_6 Y_7'),
qforte.build_circuit('X_1 X_2 X_4 Z_5 Z_6 X_7'),
qforte.build_circuit('Y_1 Y_2 Y_4 Z_5 Z_6 Y_7'),
qforte.build_circuit('X_1 Y_2 Y_4 Z_5 Z_6 X_7'),
qforte.build_circuit('Z_1 Y_2 Z_3 Z_4 Z_5 Y_6'),
qforte.build_circuit('Z_1 X_2 Z_3 Z_4 Z_5 X_6'),
qforte.build_circuit('Y_1 X_2 X_5 Y_6'),
qforte.build_circuit('X_1 X_2 Y_5 Y_6'),
qforte.build_circuit('Y_1 Y_2 X_5 X_6'),
qforte.build_circuit('X_1 Y_2 Y_5 X_6'),
qforte.build_circuit('Z_1 Z_3'),
qforte.build_circuit('Z_1 Y_3 Z_4 Z_5 Z_6 Y_7'),
qforte.build_circuit('Z_1 X_3 Z_4 Z_5 Z_6 X_7'),
qforte.build_circuit('Y_1 Z_2 Z_4 Y_5'),
qforte.build_circuit('X_1 Z_2 Z_4 X_5'),
qforte.build_circuit('Y_1 Z_2 X_3 X_5 Z_6 Y_7'),
qforte.build_circuit('X_1 Z_2 X_3 X_5 Z_6 X_7'),
qforte.build_circuit('X_1 Z_2 X_3 Y_5 Z_6 Y_7'),
qforte.build_circuit('Y_1 Z_2 Y_3 X_5 Z_6 X_7'),
qforte.build_circuit('Y_1 Z_2 Y_3 Y_5 Z_6 Y_7'),
qforte.build_circuit('X_1 Z_2 Y_3 Y_5 Z_6 X_7'),
qforte.build_circuit('Z_1 Z_4'),
qforte.build_circuit('Y_1 Z_2 Z_3 Y_5'),
qforte.build_circuit('X_1 Z_2 Z_3 X_5'),
qforte.build_circuit('Y_1 Z_2 Y_3 Y_4 Z_5 Y_6'),
qforte.build_circuit('X_1 Z_2 X_3 Y_4 Z_5 Y_6'),
qforte.build_circuit('Y_1 Z_2 Y_3 X_4 Z_5 X_6'),
qforte.build_circuit('X_1 Z_2 X_3 X_4 Z_5 X_6'),
qforte.build_circuit('Y_1 Z_2 Z_3 X_4 X_6 Y_7'),
qforte.build_circuit('X_1 Z_2 Z_3 X_4 X_6 X_7'),
qforte.build_circuit('Y_1 Z_2 Z_3 Y_4 Y_6 Y_7'),
qforte.build_circuit('X_1 Z_2 Z_3 Y_4 Y_6 X_7'),
qforte.build_circuit('Z_1 Z_5'),
qforte.build_circuit('Z_1 Z_6'),
qforte.build_circuit('Y_1 Z_2 Z_3 Z_4 Y_5 Z_6'),
qforte.build_circuit('X_1 Z_2 Z_3 Z_4 X_5 Z_6'),
qforte.build_circuit('Z_1 Z_7'),
qforte.build_circuit('Y_1 Z_2 Z_3 Z_4 Y_5 Z_7'),
qforte.build_circuit('X_1 Z_2 Z_3 Z_4 X_5 Z_7'),
qforte.build_circuit('Z_2 Z_3'),
qforte.build_circuit('Y_2 Z_4 Z_5 Y_6'),
qforte.build_circuit('X_2 Z_4 Z_5 X_6'),
qforte.build_circuit('Y_2 X_3 X_4 Y_5'),
qforte.build_circuit('X_2 X_3 Y_4 Y_5'),
qforte.build_circuit('Y_2 Y_3 X_4 X_5'),
qforte.build_circuit('X_2 Y_3 Y_4 X_5'),
qforte.build_circuit('Z_2 Y_3 Z_4 Z_5 Z_6 Y_7'),
qforte.build_circuit('Z_2 X_3 Z_4 Z_5 Z_6 X_7'),
qforte.build_circuit('Y_2 X_3 X_6 Y_7'),
qforte.build_circuit('X_2 X_3 Y_6 Y_7'),
qforte.build_circuit('Y_2 Y_3 X_6 X_7'),
qforte.build_circuit('X_2 Y_3 Y_6 X_7'),
qforte.build_circuit('Z_2 Z_4'),
qforte.build_circuit('Y_2 Z_3 Z_5 Y_6'),
qforte.build_circuit('X_2 Z_3 Z_5 X_6'),
qforte.build_circuit('Z_2 Z_5'),
qforte.build_circuit('Y_2 Z_3 Z_4 Y_6'),
qforte.build_circuit('X_2 Z_3 Z_4 X_6'),
qforte.build_circuit('Y_2 Z_3 Y_4 Y_5 Z_6 Y_7'),
qforte.build_circuit('X_2 Z_3 X_4 Y_5 Z_6 Y_7'),
qforte.build_circuit('Y_2 Z_3 Y_4 X_5 Z_6 X_7'),
qforte.build_circuit('X_2 Z_3 X_4 X_5 Z_6 X_7'),
qforte.build_circuit('Z_2 Z_6'),
qforte.build_circuit('Z_2 Z_7'),
qforte.build_circuit('Y_2 Z_3 Z_4 Z_5 Y_6 Z_7'),
qforte.build_circuit('X_2 Z_3 Z_4 Z_5 X_6 Z_7'),
qforte.build_circuit('Z_3 Z_4'),
qforte.build_circuit('Y_3 Z_5 Z_6 Y_7'),
qforte.build_circuit('X_3 Z_5 Z_6 X_7'),
qforte.build_circuit('Y_3 X_4 X_5 Y_6'),
qforte.build_circuit('X_3 X_4 Y_5 Y_6'),
qforte.build_circuit('Y_3 Y_4 X_5 X_6'),
qforte.build_circuit('X_3 Y_4 Y_5 X_6'),
qforte.build_circuit('Z_3 Z_5'),
qforte.build_circuit('Y_3 Z_4 Z_6 Y_7'),
qforte.build_circuit('X_3 Z_4 Z_6 X_7'),
qforte.build_circuit('Z_3 Z_6'),
qforte.build_circuit('Y_3 Z_4 Z_5 Y_7'),
qforte.build_circuit('X_3 Z_4 Z_5 X_7'),
qforte.build_circuit('Z_3 Z_7'),
qforte.build_circuit('Z_4 Z_5'),
qforte.build_circuit('Y_4 X_5 X_6 Y_7'),
qforte.build_circuit('X_4 X_5 Y_6 Y_7'),
qforte.build_circuit('Y_4 Y_5 X_6 X_7'),
qforte.build_circuit('X_4 Y_5 Y_6 X_7'),
qforte.build_circuit('Z_4 Z_6'),
qforte.build_circuit('Z_4 Z_7'),
qforte.build_circuit('Z_5 Z_6'),
qforte.build_circuit('Z_5 Z_7'),
qforte.build_circuit('Z_6 Z_7')]
coef_vec = [
-0.9398866173443505,
0.12129073807829349,
0.00641125283150221,
0.00641125283150221,
0.12129073807829353,
0.0064112528315022135,
0.0064112528315022135,
0.07308734612725618,
-0.010595295586558178,
-0.010595295586558178,
0.0730873461272563,
-0.010595295586558171,
-0.010595295586558171,
-0.004903180263267734,
-0.0049031802632676785,
-0.0972417632017775,
-0.09724176320177753,
0.10115751743776852,
0.016853161923367253,
0.016853161923367253,
0.03977035285263866,
-0.03977035285263866,
-0.03977035285263866,
0.03977035285263866,
0.00905981792020611,
0.00905981792020611,
0.00905981792020611,
0.00905981792020611,
0.016853161923367253,
0.016853161923367253,
0.028827330860814942,
-0.028827330860814942,
-0.028827330860814942,
0.028827330860814942,
-0.00905981792020611,
0.00905981792020611,
0.00905981792020611,
-0.00905981792020611,
0.027456714140683562,
-0.027456714140683562,
-0.027456714140683562,
0.027456714140683562,
0.05019794254014193,
0.008400644724214635,
0.008400644724214635,
0.01678679876377047,
0.01678679876377047,
0.008370670304957601,
0.019986723846961468,
0.011616053542003863,
0.011616053542003863,
0.019986723846961468,
0.008370670304957601,
0.08996829539278059,
-0.00401664635059683,
-0.00401664635059683,
0.020803445114367297,
0.020803445114367297,
0.020803445114367297,
0.020803445114367297,
-0.020045295426307817,
-0.020045295426307817,
-0.020045295426307817,
-0.020045295426307817,
0.01746046264442075,
0.01746046264442075,
0.028415965731265418,
-0.028415965731265418,
-0.028415965731265418,
0.028415965731265418,
0.062364797002734416,
0.09119212786354935,
-0.0029292718691351837,
-0.0029292718691351837,
0.040032019273269284,
0.040032019273269284,
0.040032019273269284,
0.040032019273269284,
-0.008895760438436422,
0.008895760438436422,
0.008895760438436422,
-0.008895760438436422,
0.077813400984472,
0.008622786573744252,
0.008622786573744252,
0.10527011512515555,
0.017518547012180676,
0.017518547012180676,
0.08996829539278059,
-0.00401664635059683,
-0.00401664635059683,
0.020803445114367297,
-0.020803445114367297,
-0.020803445114367297,
0.020803445114367297,
-0.020045295426307817,
-0.020045295426307817,
-0.020045295426307817,
-0.020045295426307817,
0.01746046264442075,
0.01746046264442075,
0.028415965731265418,
-0.028415965731265418,
-0.028415965731265418,
0.028415965731265418,
0.05019794254014193,
0.008400644724214635,
0.008400644724214635,
0.01678679876377047,
0.01678679876377047,
0.008370670304957601,
0.019986723846961468,
0.011616053542003863,
0.011616053542003863,
0.019986723846961468,
0.008370670304957601,
0.09119212786354935,
-0.0029292718691351837,
-0.0029292718691351837,
0.040032019273269284,
0.040032019273269284,
0.040032019273269284,
0.040032019273269284,
0.008895760438436422,
0.008895760438436422,
0.008895760438436422,
0.008895760438436422,
0.062364797002734416,
0.10527011512515555,
0.017518547012180676,
0.017518547012180676,
0.077813400984472,
0.008622786573744252,
0.008622786573744252,
0.09416046345893181,
-0.0025909758017290006,
-0.0025909758017290006,
0.035233425879700006,
-0.035233425879700006,
-0.035233425879700006,
0.035233425879700006,
-0.0025909758017290006,
-0.0025909758017290006,
0.029476085351951252,
-0.029476085351951252,
-0.029476085351951252,
0.029476085351951252,
0.05898073895378817,
0.018463477774636035,
0.018463477774636035,
0.09421416483348818,
-0.003276374161489622,
-0.003276374161489622,
0.02173985193612566,
0.02173985193612566,
0.02173985193612566,
0.02173985193612566,
0.06484557443787466,
0.0943216597898259,
0.01867832322072119,
0.01867832322072119,
0.09421416483348818,
-0.003276374161489622,
-0.003276374161489622,
0.02173985193612566,
-0.02173985193612566,
-0.02173985193612566,
0.02173985193612566,
0.05898073895378817,
0.018463477774636035,
0.018463477774636035,
0.0943216597898259,
0.01867832322072119,
0.01867832322072119,
0.06484557443787466,
0.0970891982291751,
0.042405629926062886,
-0.042405629926062886,
-0.042405629926062886,
0.042405629926062886,
0.05395287215237218,
0.09635850207843506,
0.09635850207843506,
0.05395287215237218,
0.11278693858600855]
H4_qubit_hamiltonian = qforte.QuantumOperator()
for i in range(len(circ_vec)):
H4_qubit_hamiltonian.add_term(coef_vec[i], circ_vec[i])
ref = [1,1,1,1,0,0,0,0]
# make test with algorithm class
mol = Molecule()
mol.set_hamiltonian(H4_qubit_hamiltonian)
# SRQK
alg1 = SRQK(mol, reference=ref, trotter_number=1, fast=False)
alg1.run(s=3)
Egs1 = alg1.get_gs_energy()
Egs1_fast = -1.9982299799
self.assertLess(abs(Egs1-Egs1_fast), 1.0e-9)