Merge branch 'qiskit_patterns' of github.com:eggerdj/qopt-best-practi…

…ces into qiskit_patterns

demos/qiskit_patterns/README.md

@@ -0,0 +1,16 @@
+# Qiskit Patterns Lab Prep Work
+
+## Requirements
+
+- Laptop (Windows, MacOS or Linux), access to a terminal
+
+## Instructions
+
+1. Follow the instructions on https://docs.quantum.ibm.com/start/install#install-and-set-up-qiskit-with-the-qiskit-runtime-client
+to install and set up a Python environment with Qiskit. Activate your environment.
+2. Download the lab material, unzip the folder
+3. Navigate to the `demo` directory using the terminal
+4. run `pip install -r requirements.txt`
+5. Activate your jupyter environment running `jupyter notebook`, this should open a browser window that shows the contents of 
+the `demo` directory
+6. Open `test_installation.ipynb` and follow the instructions to test that the installation was successful

how_tos/demo_src/post.py → demos/qiskit_patterns/demo_src/post.py

@@ -33,16 +33,20 @@ def plot_result(G, x):
 def plot_distribution(final_distribution):
     matplotlib.rcParams.update({'font.size': 10})
     final_bits = final_distribution.binary_probabilities()
-    position = np.argmax(np.abs(list(final_bits.values())))
-
+    values = np.abs(list(final_bits.values()))
+    top_4_values = sorted(values, reverse = True)[:4]
+    positions = []
+    for value in top_4_values:
+        positions.append(np.where(values == value)[0])
     fig = plt.figure(figsize = (11,6))
     ax=fig.add_subplot(1,1,1)
     plt.xticks(rotation=45)
     plt.title("Result Distribution")
     plt.xlabel("Bitstrings (reversed)")
     plt.ylabel("Probability")
     ax.bar(list(final_bits.keys()), list(final_bits.values()), color='tab:grey')
-    ax.get_children()[position].set_color('tab:purple') 
+    for p in positions:
+        ax.get_children()[int(p)].set_color('tab:purple')
     plt.show()
 
 

demos/qiskit_patterns/requirements.txt

@@ -0,0 +1,8 @@
+qiskit>=1.0.0
+qiskit_ibm_runtime>=0.18.0
+qiskit_optimization>=0.6.0
+qiskit_aer
+matplotlib
+notebook
+ipykernel
+pylatexenc

demos/qiskit_patterns/test_installation.ipynb

@@ -0,0 +1,66 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "pycharm": {
+     "name": "#%% md\n"
+    }
+   },
+   "source": [
+    "# Installation Test\n",
+    "\n",
+    "Run the cell below (press `Shift` + `Enter`) to check that all the imports work correctly. If you see the 🎉 emoji as the cell output, your installation was successful."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "pycharm": {
+     "name": "#%%\n"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Your installation works 🎉!\n"
+     ]
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot\n",
+    "import networkx as nx\n",
+    "from demo_src.map import map_qubo_to_ising\n",
+    "from qiskit_ibm_runtime.fake_provider import FakeVigoV2\n",
+    "from qiskit import qpy\n",
+    "from qiskit_aer import Aer\n",
+    "from qiskit_optimization.applications import Maxcut\n",
+    "print(\"Your installation works 🎉!\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "ibm_tech_clean",
+   "language": "python",
+   "name": "ibm_tech_clean"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}