{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Interfacing Basics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nqct.utils.QuantumSession import QuantumSession\n",
    "\n",
    "qs = QuantumSession(api_key=\"PASTE_API_KEY_HERE\", storage_path='temp/')\n",
    "qs.list_backends();\n",
    "#Copy over the desired backend from the given list\n",
    "qs.select_backend('quantware_soprano_d2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_script = r\"\"\"\n",
    "OPENQASM 3;\n",
    "include 'stdgates_transmon_fixed_coupler.inc';\n",
    " \n",
    "bit[2] c;\n",
    "qubit[2] q;\n",
    " \n",
    "z q[0];\n",
    "rx(pi/2) q[0];\n",
    " \n",
    "z q[1];\n",
    "ry(pi/2) q[1];\n",
    " \n",
    "ctrl @ z q[0], q[1];\n",
    " \n",
    "z q[1];\n",
    "ry(pi/2) q[1];\n",
    " \n",
    "delay[0]  q[0], q[1];\n",
    "c[0] = measure q[0];\n",
    "c[1] = measure q[1];\n",
    "\"\"\"\n",
    "qs.set_qasm(my_script)\n",
    "qs.get_qregs_in_qasm()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "qs.validate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "qs.set_acquisition_type('DISCRIMINATION')\n",
    "qs.set_averaging_type('SingleShotCounts')\n",
    "qs.set_num_shots(1024)\n",
    "qs.set_shot_repeat(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "leRes = qs.run()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "leRes.get_inner_slicing_vars()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cur_arrs = leRes.get_data('c')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}