I created a separate Python file for numerical calculations when implementing a quantum circuit. Now, I'm trying to use IBM Quantum Lab to apply this code to a circuit using Qiskit.
%matplotlib inline
import math
import decomposition_2qubit as d2
import numpy as np
from qiskit import QuantumCircuit, execute, Aer
from qiskit.visualization import plot_histogram
from qiskit.extensions import *
from qiskit.quantum_info import Statevector
matrix = (1/2)*np.array([
[1,1,1,1],
[1,-1,1,-1],
[1,1,-1,-1],
[1,-1,-1,1]])
qc = QuantumCircuit(2,2)
#qc.x(0)
#qc.x(1)
qc.barrier()
d2.twoqubit_to_single(qc, matrix)
ket = Statevector(qc)
ket.draw('latex')
qc.draw('mpl')
However, when I try to import the decomposition_2qubit.py file, I encounter this error. How can I resolve this?
Traceback (most recent call last):
Cell In[1], line 4
import decomposition_2qubit as d2
ModuleNotFoundError: No module named 'decomposition_2qubit'
Use %tb to get the full traceback.
I have the 'decomposition_2qubit.py' file located in the same folder as the current Jupyter Notebook file I am using. Additionally, since IBM Quantum Lab appears to use Jupyter Notebook as its base, I tried searching for solutions when encountering such errors in Jupyter Notebook, but unfortunately, I couldn't resolve the issue.
You are probably facing an issue with the file path. As suggested here, you can either specify your own import path explicitly or just prepend path modifiers like .. and/or /.