IBM Q Experience用户指南中的Bloch sphere example应该在最后显示一个图。当我运行示例时,它不会显示绘图。
我可以内联(以jupyter)绘制电路图和其他图,但是对我来说这是行不通的。
代码(完全从示例页面复制)如下所示。
我的环境是:
Fedora Core 30
Qiskit 0.8.2
Matplotlib 3.1.0
Python 3.7.3
Conda 4.6.11(conda构建版本:3.17.8)
jupyter核心:4.5.0
jupyter-notebook:5.7.8
qtconsole:未安装
ipython:7.5.0
ipykernel:5.1.1
jupyter客户:5.2.4
jupyter实验室:未安装
nbconvert:5.5.0
ipywidgets:7.4.2
nbformat:4.4.0
特质:4.3.2
# quantum_phase_bloch.py
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer
from qiskit.tools.visualization import plot_bloch_vector
# Define the Quantum and Classical Registers
q = QuantumRegister(1)
c = ClassicalRegister(1)
# Build the circuits
pre = QuantumCircuit(q, c)
pre.h(q)
pre.barrier()
meas_x = QuantumCircuit(q, c)
meas_x.barrier()
meas_x.h(q)
meas_x.measure(q, c)
meas_y = QuantumCircuit(q, c)
meas_y.barrier()
meas_y.s(q).inverse()
meas_y.h(q)
meas_y.measure(q, c)
meas_z = QuantumCircuit(q, c)
meas_z.barrier()
meas_z.measure(q, c)
bloch_vector = ['x', 'y', 'z']
exp_vector = range(0, 21)
circuits = []
for exp_index in exp_vector:
middle = QuantumCircuit(q, c)
phase = 2*np.pi*exp_index/(len(exp_vector)-1)
middle.u1(phase, q)
circuits.append(pre + middle + meas_x)
circuits.append(pre + middle + meas_y)
circuits.append(pre + middle + meas_z)
# Execute the circuit
job = execute(circuits, backend = Aer.get_backend('qasm_simulator'), shots=1024)
result = job.result()
# Plot the result
for exp_index in exp_vector:
bloch = [0, 0, 0]
for bloch_index in range(len(bloch_vector)):
data = result.get_counts(circuits[3*exp_index+bloch_index])
try:
p0 = data['0']/1024.0
except KeyError:
p0 = 0
try:
p1 = data['1']/1024.0
except KeyError:
p1 = 0
bloch[bloch_index] = p0-p1
plot_bloch_vector(bloch)
答案 0 :(得分:0)
ImportanceOfBeingErnest提供的最后一个链接显示了一个解决该问题的函数(它可能不是最好的方法,但是它对我有帮助,所以我在这里为其他人发布了经过修改的代码)。
修改后的代码是:
# quantum_phase_bloch.py
%matplotlib inline
import matplotlib.pyplot as plt
def show_figure(fig):
# See https://github.com/Qiskit/qiskit-terra/issues/1682
new_fig = plt.figure()
new_mngr = new_fig.canvas.manager
new_mngr.canvas.figure = fig
fig.set_canvas(new_mngr.canvas)
plt.show(fig)
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer
from qiskit.tools.visualization import plot_bloch_vector
# Define the Quantum and Classical Registers
q = QuantumRegister(1)
c = ClassicalRegister(1)
# Build the circuits
pre = QuantumCircuit(q, c)
pre.h(q)
pre.barrier()
meas_x = QuantumCircuit(q, c)
meas_x.barrier()
meas_x.h(q)
meas_x.measure(q, c)
meas_y = QuantumCircuit(q, c)
meas_y.barrier()
meas_y.s(q).inverse()
meas_y.h(q)
meas_y.measure(q, c)
meas_z = QuantumCircuit(q, c)
meas_z.barrier()
meas_z.measure(q, c)
bloch_vector = ['x', 'y', 'z']
exp_vector = range(0, 21)
circuits = []
for exp_index in exp_vector:
middle = QuantumCircuit(q, c)
phase = 2*np.pi*exp_index/(len(exp_vector)-1)
middle.u1(phase, q)
circuits.append(pre + middle + meas_x)
circuits.append(pre + middle + meas_y)
circuits.append(pre + middle + meas_z)
# Execute the circuit
job = execute(circuits, backend = Aer.get_backend('qasm_simulator'), shots=1024)
result = job.result()
# Plot the result
for exp_index in exp_vector:
bloch = [0, 0, 0]
phase = 2*np.pi*exp_index/(len(exp_vector)-1)
phase_deg = phase / (2.0*np.pi) * 360.0
for bloch_index in range(len(bloch_vector)):
data = result.get_counts(circuits[3*exp_index+bloch_index])
try:
p0 = data['0']/1024.0
except KeyError:
p0 = 0
try:
p1 = data['1']/1024.0
except KeyError:
p1 = 0
bloch[bloch_index] = p0-p1
show_figure(plot_bloch_vector(bloch, title='Bloch sphere with phase {:.1f} degrees'.format(phase_deg)))