• Members 17 posts
    Sept. 3, 2021, 9:19 a.m.

    I try to install qiskit in Jupyter using the following code in Jupyter notebook:

    pip install qiskit

    Then I got the following error:

    Failed to build cryptography

    How should I go about it?

  • Members 19 posts
    Sept. 3, 2021, 9:30 a.m.

    You can create an environment with python and qiskit in it, then add this environment to Jupyter Notebook. Here is how you do it.

    1. Create virtual environment and install qiskit

    Install Anaconda if you don't already have it install Anaconda , then open Anaconda Prompt in your computer

    Create a new environment with Python in it (I name it qiskit_env here). Note: qiskit only works with python version 3.6 or later.

    conda create -n qiskit_env python=3.8

    Activate this environment

    conda activate qiskit_env

    Install qiskit in this new environment

    pip install qiskit[visualization]

    zsh user (which is the default shell on newer versions of macOS), you’ll need to put 'qiskit[visualization]' in quotes

    pip install 'qiskit[visualization]'

    2.Add the new environment to Jupyter Notebook

    Install ipykernal

    conda install -c anaconda ipykernel

    Add your qiskit environment to jupyter:

    python -m ipykernel install --user --name=qiskit_env

    Now open your Jupyter Notebook within the activated environment - This is very important. If you open Jupyter outside of this environment, the kernel won't be able to connect.

    jupyter notebook

    You should be able to create a new notebook with this new environment which has qiskit installed. Later on you can see this qiskit_env has been added to the kernel list in Jupyter notebook

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  • Members 19 posts
    Oct. 17, 2021, 7:47 a.m.

    BTW, if you need to install a new package in the qiskit_env, you can do the installation in this virtual environment, then install this environment to ipykernel again.

    For example, to add qiskit_optimization to the qiskit_env:

    Open Anaconda Prompt, and activate the environment

    conda activate qiskit_env

    Install qiskit_optimization package in this environment

    pip install qiskit[optimization]

    zsh user (which is the default shell on newer versions of macOS), you’ll need to put 'qiskit[optimization]' in quotes

    pip install 'qiskit[optimization]'

    At last, add your qiskit environment to jupyter again

    python -m ipykernel install --user --name=qiskit_env