def schrodinger_with_Z_gates_experiment():
pi_val = np.pi/2
qc = schrodinger_circle_with_Z_gates(pi_val)
qc.draw(output='mpl')
# plt.show()
counts = tools.simulate(qc).get_counts()
print(counts)
plot_histogram(counts, title="Šredingerio lygties būsenos, su Z vartų keitiniu, kai $\Phi = \\frac{\pi}{2}$ ")
plt.show()
def schrodinger_inverse_gates_experiment():
pi_val = np.pi / 2
qc = schrodinger_circle_inverse_gates(pi_val, measure=True)
qc.draw(output='mpl')
# plt.show()
counts = tools.simulate(qc).get_counts()
print(counts)
plot_histogram(counts, title="Grįžtamos sistemos būsenos")
plt.show()
def simulate_all(qc_arr):
columns = ['00', '01', '10', '11']
index = list(range(len(pi_arr)))
df = pd.DataFrame(index=index, columns=columns)
for i in range(len(df)):
df.iloc[i] = 0.0
for i in range(len(pi_arr)):
test_result = tools.simulate(qc_arr[i])
for test in test_result.get_counts():
value = test_result.get_counts()[test]
df.iloc[i][test] = value
df = df / 5000
return df
def quiskit_simuliation(test_matrix):
qr = QuantumRegister(1, "qr")
cr = ClassicalRegister(1, "cr")
qc = QuantumCircuit(qr, cr)
qc.unitary(test_matrix, [0], label='$ U_{perėjimo} $')
qc.measure(qr[0], cr[0]) # measure q[1] -> c[0];
qc.draw(output='mpl')
result = tools.simulate(qc).get_counts()
# plt.show()
# result = tools.simulate_unitary(qc).get_unitary(qc, decimals=3) #.get_counts()
# print(result)
plot_histogram(result)
plt.show()