{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Getting Started\n",
    "\n",
    "Using Qiskit with Rigetti QPUs and simulators is easy!\n",
    "\n",
    "To start out, let's import the necessary components:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import (\n",
    "    QuantumCircuit,\n",
    "    QuantumRegister,\n",
    "    ClassicalRegister,\n",
    "    execute\n",
    ")\n",
    "from qiskit_rigetti import RigettiQCSProvider"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Now, we'll instantiate a provider and get a backend. Use `provider.get_simulator()` to retrieve a simulator,\n",
    "or use `provider.get_backend()` to retrieve a remote QPU backend (requires a reservation via [Rigetti Quantum Cloud Services (QCS)](https://docs.rigetti.com/qcs/guides/reserving-time-on-a-qpu))."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "provider = RigettiQCSProvider()\n",
    "backend = provider.get_simulator(num_qubits=2, noisy=True)  # or provider.get_backend(name=\"Aspen-9\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": [
    "Now, let's create a simple Bell state circuit:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\">      ┌───┐     ┌─┐   \n",
       " q_0: ┤ H ├──■──┤M├───\n",
       "      └───┘┌─┴─┐└╥┘┌─┐\n",
       " q_1: ─────┤ X ├─╫─┤M├\n",
       "           └───┘ ║ └╥┘\n",
       "ro: 2/═══════════╩══╩═\n",
       "                 0  1 </pre>"
      ],
      "text/plain": [
       "      ┌───┐     ┌─┐   \n",
       " q_0: ┤ H ├──■──┤M├───\n",
       "      └───┘┌─┴─┐└╥┘┌─┐\n",
       " q_1: ─────┤ X ├─╫─┤M├\n",
       "           └───┘ ║ └╥┘\n",
       "ro: 2/═══════════╩══╩═\n",
       "                 0  1 "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit = QuantumCircuit(QuantumRegister(2, \"q\"), ClassicalRegister(2, \"ro\"))\n",
    "circuit.h(0)\n",
    "circuit.cx(0, 1)\n",
    "circuit.measure([0, 1], [0, 1])\n",
    "\n",
    "circuit.draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The circuit can now be run against the backend with Qiskit's `execute()` function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counts for experiment: {'01': 57, '11': 405, '00': 476, '10': 62}\n"
     ]
    }
   ],
   "source": [
    "job = execute(circuit, backend, shots=1000)\n",
    "result = job.result()\n",
    "counts = result.get_counts()\n",
    "print(\"Counts for experiment:\", counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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e0c46R7SzrvnAfICRI0eycuVKAPLz8xkwYAAbNmwAYMiQIRQVFbF69WoAMjMzmTp1KlVVVbz//vsARCIRdu/eDZx5vPK7lCPfj3HjxtHY2Mi2bdsAyM3NZfjw4VRWVgIwcOBAiouLqaiooKmpCYBp06axefNm9u3bB8D48eNpaGhg+/btAOTl5TF48GCqqqoAGDRoEOPHj2fVqlW4O2bG9OnT2bBhA++88w4AxcXF7N+/n9raWqBj+2nnzp0AjB49mqysLDZt2gTAsGHDOOuss6ioqAAgKyuL0tJSKisr+eCDDwAoKSmhrq6O+vpgtsjCwkIyMjLYsmULACNGjGDUqFGsWbMGgL59+1JSUsLatWv56KOPACgtLaWmpoZdu3YBMHbsWJqbm9m6dSsA2dnZ5OTksHZtcFahf//+RCIR1qxZQ2Nj8HS+qVOnUl1dzZ49e7SftJ8Ssp/gDLqLt956KyH76XjM/fiPx0zUfZpmNpJgftrp7r46pn0JcLm7Fx7ns6OA/sAU4HvAP7n7suiyQ8A17v5ITP+rgKXunnW8eiORiB/5R9sR197d4VWkjaULU12BiCSTfn4dy8zWu3ukrWXJvE9zL9AMDG/VPhzYdbwC3L0m+nKjmQ0HbgOWRdt2ncw6RURE4hX2nOaemNcndU7T3Q8RXNRzYatFFwIvxVlz7BHkmgSsU0RE5ISSeU4T4EfAMjNbB7wIXAeMBO4HMLNHANz9quj7G4EaYGv089OAm/nLlbMQ3MKy2sy+Afw3cAnwGWBqJ2+LiIj0MHGHZvTZmguBsdGmV4F/cfeqE33W3Zeb2RDgFuB0YBMwK2ZC+NZnpDMIzmHmAU3An4FvEA3Z6DpfMrM5wHeA26N9ZuseTRERSbS4QtPMLgceAX4H/CbaPAVYZ2ZXu/vPT7SO6KQE97WzbEar93cDd4dY5xOEv59URETkpMR7pHkHcKu7fze20cy+SXCkd8LQFBER6arinXv2NOCxNtofB4Z1vBwREZH0FW9ovgDMaKN9BkfP0iMiItLtxDth+9PAnWYWAV6Otk0hmCT9toRXJyIikkZOdsL2lqnoYvyYdi7wERER6Q7iegi1iIhIT6ZAFBERCelkJjcYBPwNwUQEvWOXufvtCapLREQk7cQ7ucEU4NdAI8HtJ/UEM/s0ArUEM/KIiIh0S/EOz/4A+AWQDRwEPktwxFlJMN2diIhItxVvaJ4D3OvBQzibgSx33w0sRreciIhINxdvaB6Keb0b+GT09QcETysRERHptuK9EKgKmAxUAyuB70QfCn0F8KfEliYiIpJe4j3S/D/Am9HXtwBvE0xqMIhjJzsQERHpVuI60nT3ypjXbxPceiIiItIjxH2fJoCZnQn8dfTtFnffnriSRERE0lO892kOAX4GlAGH/9JsTwHz3H1fgusTERFJG/Ge0/x/QAFwHtAn+jUNGAUsTWxpIiIi6SXe4dmZwPnuviam7UUz+0fgfxJXloiISPqJ90jzbeDDNtoPABqaFRGRbi3e0LwduNvMso80RF//EM07KyIi3dwJh2fNbCPgMU2jgFozq4++PzIP7TCCc54iIiLdUphzmk90ehUiIiJdwAlD092/nYxCRERE0t3JTm7wWWAswbDtZndfmciiRERE0lG8kxtkA/8FTOIvc9CONLNK4BJ3f7PdD4uIiHRx8V49+68Ez9EscPdcd88FRkfb/jXRxYmIiKSTeIdnLwRmuHvNkQZ3325mC4DnE1qZiIhImon3SBOOvv3keG0iIiLdSryh+TzwYzPLPdJgZmcAd6MjTRER6ebiDc0FwF8B281sh5ntAP4cbVuQ6OJERETSSbznNPcBnwJmAGOiba+6uyZrFxGRbi90aJpZBvAeMN7dnwOe67SqRERE0lDo4Vl3bwZ2AL07rxwREZH0Fe85zf8L3GVmQzujGBERkXQW7znNmwmeclJvZnW0eramu5+TqMJERETSTbyh+QTBPZnWCbWIiIiktVChaWb9gB8AFwOnENyTeaO77+280kRERNJL2HOa3wauBn4NPApcAPxbJ9UkIiKSlsIOz14KfNXdywHM7BfAi2aWEb2qVkREpNsLe6SZC/z+yBt3Xwc0ASM7oygREZF0FDY0M4BDrdqaOMmHWIuIiHRFYUPPgJ+bWWNMWx9gqZkdONLg7mWJLE5ERCSdhA3Nh9to+3kiCxEREUl3oULT3f+hswsRERFJdyfzEGoREZEeSaEpIiISkkJTREQkJIWmiIhISApNERGRkBSaIiIiISk0RUREQlJoioiIhKTQFBERCUmhKSIiEpJCU0REJCSFpoiISEgKTRERkZAUmiIiIiEpNEVEREJKemia2fVmVmNmB81svZmdd5y+p5vZf5jZa2bWbGYPtdHnajPzNr76dOqGiIhIj5PU0DSz2cA9wHeBicBLwNNmdkY7H8kC9gJ3AWuPs+oDwOmxX+5+MFF1i4iIQPKPNBcBD7n7Und/1d1vBN4CvtZWZ3evdfcF7v4QsP8463V33xX7lfjSRUSkp0taaJpZb2AS8GyrRc8C53Zw9X3NbIeZ1ZnZU2Y2sYPrExEROUZmEv+uoUAGsLtV+27ggg6sdyswD9gADAD+CXjRzMa7+7bWnc1sPjAfYOTIkaxcuRKA/Px8BgwYwIYNGwAYMmQIRUVFrF69GoDMzEymTp1KVVUV77//PgCRSITdu3cDZ3ag/PRy5Psxbtw4Ghsb2bYt+Bbm5uYyfPhwKisrARg4cCDFxcVUVFTQ1NQEwLRp09i8eTP79u0DYPz48TQ0NLB9+3YA8vLyGDx4MFVVVQAMGjSI8ePHs2rVKtwdM2P69Ols2LCBd955B4Di4mL2799PbW0t0LH9tHPnTgBGjx5NVlYWmzZtAmDYsGGcddZZVFRUAJCVlUVpaSmVlZV88MEHAJSUlFBXV0d9fT0AhYWFZGRksGXLFgBGjBjBqFGjWLNmDQB9+/alpKSEtWvX8tFHHwFQWlpKTU0Nu3YFAyFjx46lubmZrVu3ApCdnU1OTg5r1wZnIvr3708kEmHNmjU0NjYCMHXqVKqrq9mzZ4/2k/ZTQvYTtHd2rOt56623ErKfjsfcvRM3IeYvMhsJ1APT3X11TPsS4HJ3LzzB558C9rr71SfolwG8Arzg7guO1zcSifiRf7Qdce3dHV5F2li6MNUViEgy6efXscxsvbtH2lqWzHOae4FmYHir9uFAws5BunszUAmMTtQ6RUREIImh6e6HgPXAha0WXUhwFW1CmJkB5xBcYCQiIpIwyTynCfAjYJmZrQNeBK4DRgL3A5jZIwDuftWRD5jZhOjLgcDh6PtD7r4luvxbwMvAtmifBQSh2eYVuSIiIicrqaHp7svNbAhwC8H9lJuAWe6+I9qlrTPSf2z1/gvADiAv+v4TwAPACOC9aP9p7r4uocWLiEiPl+wjTdz9PuC+dpbNaKPNTrC+m4CbElKciIjIcWjuWRERkZAUmiIiIiEpNEVEREJSaIqIiISk0BQREQlJoSkiIhKSQlNERCQkhaaIiEhICk0REZGQFJoiIiIhKTRFRERCUmiKiIiEpNAUEREJSaEpIiISkkJTREQkJIWmiIhISApNERGRkBSaIiIiISk0RUREQlJoioiIhKTQFBERCUmhKSIiEpJCU0REJCSFpoiISEgKTRFJa8888wyFhYUUFBRw1113HbO8sbGR2bNnU1BQQElJCbW1tS3L/vSnP1FaWkpRURFnn302Bw8e5MCBA1x00UWMGTOGoqIivvGNbyRxa6SrU2iKSNpqbm7mhhtu4Omnn2bLli08+uijbNmy5ag+P/vZzxg0aBCvv/46N910E4sXLwagqamJK664gvvvv5/NmzezcuVKTjnlFABuvvlmXnvtNf74xz/y4osv8vTTTyd926RrUmiKSNpat24dBQUF5Ofn07t3b+bMmcOKFSuO6rNixQq+8pWvAPDFL36R559/Hnfn2Wef5ZxzzmH8+PEADBkyhIyMDPr168dnPvMZAHr37k1xcTF1dXXJ3TDpshSaIlEnOwxYW1tL3759mTBhAhMmTOC6664DoKGhoaVtwoQJDB06lIULFyZxi7q++vp6cnNzW97n5ORQX1/fbp/MzExOPfVU9u3bR3V1NWbGzJkzKS4u5vvf//4x63/33Xf51a9+xfnnn9+5GyLdRmaqCxBJB0eGAZ977jlycnKYPHkyZWVljB07tqVP7DBgeXk5ixcvZvny5QCceeaZvPLKK0etc8CAAUe1TZo0iUsvvTQZmyMEw7MVFRX84Q9/oF+/fpx//vlMmjSpJSCbmpqYO3cuCxYsID8/P8XVSlehI00ROjYMGEZ1dTV79uzhvPPOS3jt3Vl2djY7d+5seV9XV0d2dna7fZqamnjvvfcYMmQIOTk5TJs2jaFDh9KvXz9mzZpFVVVVy+fmz5/P6NGjdfQvcVFoitCxYUCAmpoaJk6cyPTp0/n9739/zPrLy8uZPXs2ZtaJW9H9TJ48mW3btlFTU8OhQ4coLy+nrKzsqD5lZWU8/PDDADzxxBN89rOfbRmW3bhxIwcOHKCpqYlVq1a1jBzccsstvPfee9x9993J3iTp4jQ8K9JBp59+Om+88QZDhgxh/fr1XHzxxWzevJmBAwe29CkvL2fZsmUprLJryszM5N5772XmzJk0Nzczb948ioqKWLJkCZFIhLKyMr761a9y5ZVXUlBQwODBgykvLwdg0KBBLFq0iMmTJ2NmzJo1i4suuoi6ujruuOMOxowZQ3FxMQBf//rXueaaa1K5qdJFKDRFiG8YMCcn56hhQDMjKysLCM5bnnnmmVRXVxOJRADYsGEDTU1NTJo0KXkb1I3MmjWLWbNmHdV2++23t7zu06cPjz/+eJufveKKK7jiiiuOasvJyQk9rC7SmoZnRejYMODbb79Nc3MzANu3b2fbtm1HXVjy6KOPMnfu3ORtjIh0Gh1pitCxYcDVq1ezZMkSTjnlFHr16sX999/P4MGDW9b92GOP8Zvf/CZVmyYiCWQ9eZgiEol4ZWVlh9dz7d0dryVdLF2Y6gqkO9P/lfSjfXIsM1vv7pG2lml4VkREJCQNz0q3pN+eRaQz6EhTREQkJIWmiIhISApNERGRkBSaIiIiISk0RUREQlJoioiIhKTQFBERCUmhKSIiEpJCU0REJCSFpoiISEgKTRERkZAUmiIiIiEpNEVEREJSaIqIiISk0BQREQlJoSkiIhKSQlNERCQkhaaIiEhICk0REZGQFJoiIiIhKTRFRERCUmiKiIiEpNAUEREJKemhaWbXm1mNmR00s/Vmdt4J+k+P9jtoZtvN7LqOrlNERORkJDU0zWw2cA/wXWAi8BLwtJmd0U7/UcBvov0mAncCPzazvz/ZdYqIiJysZB9pLgIecvel7v6qu98IvAV8rZ3+1wFvuvuN0f5LgYeBmzuwThERkZNi7p6cv8isN3AAmOvuj8e0/wQY5+7T2/jMamCju98Q03YZ8B9AP8BOYp3zgfnRt4XA1gRsXjIMBfamugg5hvZL+tE+SU9dab980t1Pa2tBZhKLGApkALtbte8GLmjnMyOA/2mjf2Z0fRbvOt39AeCB0FWnCTOrdPdIquuQo2m/pB/tk/TUXfaLrp4VEREJKZlHmnuBZmB4q/bhwK52PrOrnf5N0fXZSaxTRETkpCTtSNPdDwHrgQtbLbqQ4IrXtqxpp3+lu398kuvsqrrckHIPof2SfrRP0lO32C9JuxAIWm4PWQZcD7xIcHXsV4Eid99hZo8AuPtV0f6jgE3AUuCnwKeB+wgu/HkyzDqTtnEiItLtJXN4FndfbmZDgFuA0wkCcVZMuJ3Rqn+Nmc0C/oXgFpI3gQVHAjPkOkVERBIiqUeaIiIiXZmunhUREQlJoSkiIhKSQlNEug0zs9g/RRJN5zTTmJnlAAUE96MeBra6u+4/FQnpSHi6ftBJgig005SZfQ2YB4wHPgReB+qAl4H/dvetZtbL3Q+nsMwexcz6uvtHqa5DjmVmvYC/A04jmJe6Hljl7ntSWph0OwrNNBS9heZ14IfAvxH8ILgAmAH8NUF43uTuW8zM9Ft05zOzQcAG4NfAz4GXjnzfY/eBmY0heDLP+ykrtocxswHAz4DPEIzI1AEOHARWAcvc/TX9X0keMzsFGAXscPfGVNeTSDqnmZ6+DFS7+3fcfZ+7v+bu97r7F4F/JPhN+ikzG6ofAklzBcH0jJOA1cDrZna7mRXGBGYu8CjBwwQkeRYQPLFolrsPBy4H7gY2Ap8Dvm9mp+n/SlLdAPwRuN/MvmBmI8wsI7aDmQ00s7+JBmyXodBMT4eAAWY2DsDMsqKPVsPdKwh+KBwk+IEgyXEO8CDwtwQPO38MmAtsMbOXo4+cuwIY7e7bU1dmj/R54GF3/wNA9JfMnwNfB/4XwejMshTW1xPNBtYRXJPx3wRTov7AzKaa2anRPl8GvuXuH6emxJOj0ExPTxAMMy00swHu3ujuh6LnbXD3N4B3gZwU1thjmFkWsAXY6e573P1P7v5NIALMjC67DbgD+F7KCu2BzCyTYBawvzez06JtGdHz/c3uvppgas0cMxufylp7iuh++BhY6u7nAZ8kGD7/W4JRmt+Z2WJgIbA2VXWeLJ3TTDMxl8r/HXAPMJjgqOY+guGOHGAawbnOs929NgVl9jjR4Bzk7ruiw0weexGWmc0Afgec4e51qamyZzKzKcAvCH7Z/JG77261PBd4FSh09/oUlNijmNnpwBxgi7v/ttWyicA10eWDgNyutk8UmmnKzD5BMBfvucAlBJPVQ/DIMyO4uOG2lBTXwxy5gMTM8oEPY38oxyxbAlzt7vmpq7TniY6+9AL+AfguwXzaTwLLgTcIhtX/Fhjr7pNTVWdPY2Z9CX6xPBh7z2zM+f87CM5BT0xVjSdLoZlGzGwYcCXBeZi9wEcEw7AVBLeanEJwjuAZd69OUZk9Ssw+WQTsIXiW61vA48B/uvuH0R8K1xJcNftUyort4aK/aF5NcK5sAtBAcO7/D8Cd7t7lhgK7svauVjazfkAV8KC7d7nTGQrNNGJmDwFFwK+A/QRDs2cDZxH8wL5F//GTq519MhEYQ3Brww/c/dmUFdiDmdlAoCH2B3P0yLMP0B8YRzAyoP8zSdLWPmmjTx+CC4UejT4TuUtRaKaJ6NFKA8GQxeqYtjOAEoLzAPnAl9y9KmWF9iDH2Sc5wBSCo8tPEjzfVfskyczspwRXaK4juB/wmHtjzWyQu7+jezSTI+Q++YS7v5vs2hJFV8+mj7FADcHtJkAw/u/uO9z9MeALBEO1l6WmvB6pvX2y090fJzhX1oD2SdKZ2VyCX1p+CKwguJ3hUjMriJ5Pw8z6Aw+a2dkKzM7Xzj65xMzOjNknfYGHj9xO1xXpSDNNRP8xPUUwccFVwJ9bT5FnZjcCX3X3CcmvsOfRPklfZrYUaAa+D1wKfAU4E9gK/AZ4nmDCg3vcvXeq6uxJeso+0ZFmmojOafp/gL7AI8BVZpYb/W35yMnz6QT3pEkSaJ+kp+i9mTXAu+6+3d3/2d3PBiYTTJv3FYLbtH6MJjVIip60T3SkmWaiwxa3AmUEE7WvAd4mmHv2LeAad9+Yugp7Hu2T9BOdC3h4dE7Z3sDHrS4Imk0wpWGxu7+SojJ7lJ6yTxSaaSp6q8NFwMUEl81vAh5399dSWVdPpn2S3qJXzpq7N5vZtQTDgP1SXVdP1h33iUKzCzA9AiztaJ+kNzNbBGS4+w9SXYsEuss+UWiKSLcTfXJGs36xSR/dZZ8oNEVERELS1bMiIiIhKTRFRERCUmiKiIiEpNAUEREJSaEpIiISkkJTREQkpP8PN2MNH8UzM8IAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.tools.visualization import plot_histogram\n",
    "\n",
    "plot_histogram(counts)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quantum Cloud Services\n",
    "\n",
    "For more information on using Rigetti Quantum Cloud Services, see the [QCS documentation](https://docs.rigetti.com)."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}