remove pip requirements

.github/workflows/test_notebooks.yml

@@ -12,20 +12,14 @@ jobs:
       - name: Set up Conda
         uses: conda-incubator/setup-miniconda@v2
         with:
-          activate-environment: test-env
+          activate-environment: myenv
           environment-file: environment.yml
           python-version: "3.11"
           auto-activate-base: false
 
-      - name: Install dependencies
-        run: |
-          conda env create -f environment.yml
-          conda activate test-env
-          while read requirement; do conda install --yes $requirement || pip install $requirement; done < requirements.txt
-
       - name: Run notebook tests
         run: |
-          conda activate test-env
+          conda activate myenv
           python tests/test_notebooks.py
         env:
           IONQ_API_KEY: ${{ secrets.IONQ_API_KEY }}

README.md

@@ -4,18 +4,22 @@ This repository contains Python samples exploring quantum computing on IonQ's pl
 
 If you're looking for advanced and in-depth examples for a given library that implement a specific algorithm, check out some of the other projects in the [ionq-samples](https://github.com/ionq-samples) organization on GitHub.
 
-----
+---
 
 ## Prerequisites
 
 There are a wide variety of ways to run these notebooks, but for starters you'll need:
 
 1. [Python](https://www.python.org/downloads/) installed, using a version between 3.8 and 3.11.
-1. A [virtual environment](https://docs.python.org/3/library/venv.html) to help ensure your dependencies don't conflict with anything else you have installed.
-1. An [IonQ API key](https://cloud.ionq.com/settings/keys), which optionally you can store as an environment variable for ease of use. Our notebooks expect to find it stored as `IONQ_API_KEY`.
-1. An installation of the library you're wanting to run. To install all the libraries at once, run `pip install -r requirements.txt` from the root directory of this repository.
+2. A [virtual environment](https://docs.python.org/3/library/venv.html) to help ensure your dependencies don't conflict with anything else you have installed.
+3. An [IonQ API key](https://cloud.ionq.com/settings/keys), which optionally you can store as an environment variable for ease of use. Our notebooks expect to find it stored as `IONQ_API_KEY`.
+4. An installation of the library you're wanting to run. To install all the libraries at once using Conda, run the following command from the root directory of this repository:
 
-----
+   ```shell
+   conda env create -f environment.yml
+   ```
+
+---
 
 ## Usage
 
@@ -27,21 +31,24 @@ If you're unfamiliar with Jupyter but you're used to a traditional IDE or code e
 
 1. From your terminal, navigate to this repository and run the following command from within this directory:
 
-    ```shell
-    jupyter notebook
-    ```
+   ```shell
+   jupyter notebook
+   ```
+
 1. Once the server is started, it should automatically open your browser. In case it doesn't, you can navigate directly to it by pointing your browser at [http://localhost:8888](http://localhost:8888)
 1. Navigate to the location of a `.ipynb` file and open it. If you don't have a particular SDK in mind, we recommend starting with `qiskit`, as its the most commonly used library today.
 
 #### VS Code
+
 1. Open the folder in VS Code and navigate to a `.ipynb` file and open it.
 1. If it's your first time using it, it will suggest a number of plugins that you may need to install before the notebook will be fully functional.
 1. At the top-right of the screen, click on `Select Kernel` and choose an appropriate Python runtime to run the notebook in.
 
 #### Cloud
+
 1. Open the notebook by clicking on the ![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg) badge located in each notebook. Or open this repository in [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/ionq-samples/getting-started/HEAD)
 
-----
+---
 
 ## Support
 

environment.yml

@@ -0,0 +1,21 @@
+name: myenv
+channels:
+  - conda-forge
+  - defaults
+dependencies:
+  - python=3.11
+  - matplotlib
+  - jupyter
+  # Add other dependencies here, for Conda packages.
+  - pip:
+      # Pip-only packages here, if any.
+      - qiskit
+      - qiskit-ionq
+      - cirq
+      - cirq-ionq
+      - pennylane
+      - pennylane-ionq
+      - projectq
+      - cuda-quantum
+      - pylatexenc
+      - requests