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September 18, 2023 15:46
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| import qutip | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| b = qutip.Bloch() | |
| # vec = [0,1,0] | |
| th = np.linspace(0, np.pi, 20) | |
| xz = np.sin(th) | |
| yz = np.zeros(20) | |
| zz = np.cos(th) | |
| # b.add_vectors(vec) | |
| b.clear() | |
| # b.add_points([xz,yz,zz]) | |
| b.add_vectors(list(zip(xz,yz,zz))) | |
| b.vector_color=["r"] | |
| # b.add_vectors([xz,yz,zz]) | |
| b.make_sphere() | |
| plt.show() |
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| from math import pi | |
| import matplotlib.pyplot as plt | |
| from qiskit import * | |
| from qiskit.tools.visualization import plot_bloch_multivector, plot_histogram | |
| from qiskit.quantum_info import state_fidelity | |
| from qiskit import BasicAer | |
| import numpy as np | |
| n = 7 | |
| qc = QuantumCircuit(n) | |
| th_res = [] # theoretical results | |
| for i in range(n): | |
| θ = pi*i/(n-1) | |
| qc.u(θ, 0, 0, i) | |
| # compute theoretical results | |
| tmp = {"0": np.cos(θ/2)**2, "1": np.sin(θ/2)**2} | |
| th_res.append(tmp) | |
| qc.barrier() | |
| qc.measure_all() | |
| qc.draw() | |
| backend = BasicAer.get_backend('qasm_simulator') | |
| # uncomment next 2 lines to use a quantum computer from IBM | |
| # provider = IBMQ.get_provider("ibm-q") | |
| # backend = provider.get_backend("ibm_perth") | |
| shots = 1024 | |
| results = execute(qc, backend=backend, shots=shots).result() | |
| answer = results.get_counts() | |
| res = [{"0": 0, "1": 0} for _ in range(n)] | |
| for i in range(n): | |
| for k, v in answer.items(): | |
| res[i][k[i]] += v | |
| res[i]["0"] /= shots | |
| res[i]["1"] /= shots | |
| df_th = pd.DataFrame(th_res) | |
| df_res = pd.DataFrame(res[::-1]) # reversed order |
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