About the error when importing the Amazon Braket algorithm library.
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Error when importing braket.experimental
As already introduced in another article, Amazon Braket allows you to easily run algorithms such as Quantum Fourier Transform and quantum machine learning using its algorithm library.
However, when installing the Amazon Braket SDK locally and trying to import it in Python, you may encounter an error like the one shown below.
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Cell In[2], line 4
2 import numpy as np
3 from braket.devices import LocalSimulator
----> 4 from braket.experimental.algorithms.quantum_circuit_born_machine import QCBM, mmd_loss
5 get_ipython().run_line_magic('matplotlib', 'inline')
ModuleNotFoundError: No module named 'braket.experimental'
As noted in the amazon-braket-algorithm-library GitHub repository, this error can be resolved by installing the Amazon Braket Algorithm Library locally using the following command.
git clone https://github.com/amazon-braket/amazon-braket-algorithm-library.git
cd amazon-braket-algorithm-library
pip install .
This installation enables you to use various Amazon Braket algorithm libraries.
Amazon Braket Learning Course
I have created a learning course on Amazon Braket, AWS’s quantum computing service.
This course is designed for those with no prior knowledge of quantum computing or AWS, and by the end, you’ll even be able to learn about quantum machine learning. Take advantage of this opportunity to build your skills in quantum technologies!
Regarding the IBM Quantum Developer Certification Exam
IBM offers a certification exam related to Qiskit, which is introduced in this blog.
By obtaining this certification, you can prove your knowledge of Qiskit and quantum programming. For those aiming to achieve this certification, I have created a practice exams on the Udemy platform! I have made the explanations as clear as possible, so please make sure to take full advantage of the following practice exams as extra study material for exam preparation.