Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j\n",
      " 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j\n",
      " 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j\n",
      " 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j\n",
      " 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j\n",
      " 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j\n",
      " 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j\n",
      " 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j\n",
      " 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j\n",
      " 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j 1.+0.j]\n",
      "flat(duration: 1e-07, iq: 1.0, detuning: 0)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pyquil.quiltwaveforms import FlatWaveform\n",
    "from pyquil.quilatom import TemplateWaveform\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def plot_waveform(wf: TemplateWaveform, sample_rate: float):\n",
    "    \"\"\" Plot a template waveform by sampling at the specified sample rate. \"\"\"\n",
    "    samples = wf.samples(sample_rate)\n",
    "    times = np.arange(len(samples))/sample_rate\n",
    "\n",
    "    print(wf)\n",
    "    plt.plot(times, samples.real, 'o')\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "waveform = FlatWaveform(duration=1e-7, iq=1.0, detuning=0)\n",
    "print(waveform.samples(1e9))\n",
    "plot_waveform(waveform, sample_rate=1e9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}