{ "cells": [ { "cell_type": "code", "execution_count": null, "id": "imports", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "from pyprojroot import here" ] }, { "cell_type": "code", "execution_count": null, "id": "load", "metadata": {}, "outputs": [], "source": [ "data = pd.read_csv(here() / 'data/base/data.csv')" ] }, { "cell_type": "code", "execution_count": null, "id": "plot", "metadata": {}, "outputs": [], "source": [ "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 5))\n", "\n", "# Separate room temp and cryogenic\n", "room_temp = data[data['Temperature (K)'] > 200]\n", "cryo = data[data['Temperature (K)'] <= 200]\n", "\n", "# Box plot comparison\n", "box_data = [room_temp['Entanglement Fidelity'], cryo['Entanglement Fidelity']]\n", "bp = ax1.boxplot(box_data, labels=['Room Temp', 'Cryogenic'],\n", " patch_artist=True, notch=True)\n", "bp['boxes'][0].set_facecolor('coral')\n", "bp['boxes'][1].set_facecolor('steelblue')\n", "ax1.set_ylabel('Entanglement Fidelity', fontsize=12)\n", "ax1.set_title('Fidelity: Room Temperature vs Cryogenic', fontsize=13)\n", "ax1.grid(True, alpha=0.3, axis='y')\n", "\n", "# Dark counts comparison\n", "box_data2 = [room_temp['Dark Count Rate A (Hz)'], cryo['Dark Count Rate A (Hz)']]\n", "bp2 = ax2.boxplot(box_data2, labels=['Room Temp', 'Cryogenic'],\n", " patch_artist=True, notch=True)\n", "bp2['boxes'][0].set_facecolor('coral')\n", "bp2['boxes'][1].set_facecolor('steelblue')\n", "ax2.set_ylabel('Dark Count Rate (Hz)', fontsize=12)\n", "ax2.set_title('Dark Counts: Room Temperature vs Cryogenic', fontsize=13)\n", "ax2.grid(True, alpha=0.3, axis='y')\n", "\n", "plt.tight_layout()\n", "plt.savefig(here() / 'output/plots/temperature_effects.png', dpi=300, bbox_inches='tight')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 5 }