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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Stochastic photo-current detection in a JC model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mixing stochastic and deterministic master equations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copyright (C) 2011 and later, Paul D. Nation & Robert J. Johansson"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import qutip.settings \n",
    "from qutip import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from qutip.ipynbtools import HTMLProgressBar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import rcParams\n",
    "rcParams['font.family'] = 'STIXGeneral'\n",
    "rcParams['mathtext.fontset'] = 'stix'\n",
    "rcParams['font.size'] = '14'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "N = 15\n",
    "w0 = 1.0 * 2 * np.pi\n",
    "g = 0.2 * 2 * np.pi\n",
    "times = np.linspace(0, 15, 150)\n",
    "dt = times[1] - times[0]\n",
    "gamma = 0.01\n",
    "kappa = 0.1\n",
    "ntraj = 150"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = tensor(destroy(N), identity(2))\n",
    "sm = tensor(identity(N), destroy(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "H = w0 * a.dag() * a + w0 * sm.dag() * sm + g * (sm * a.dag() + sm.dag() * a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "rho0 = tensor(fock(N, 5), fock(2, 0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "e_ops = [a.dag() * a, a + a.dag(), sm.dag() * sm]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Highly efficient detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "c_ops = [np.sqrt(gamma) * sm]  # collapse operator for qubit\n",
    "sc_ops = [np.sqrt(kappa) * a]  # stochastic collapse for resonator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_ref = mesolve(H, rho0, times, c_ops+sc_ops, e_ops)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time:   3.41s\n"
     ]
    }
   ],
   "source": [
    "result1 = photocurrent_mesolve(H, rho0, times, c_ops=c_ops, sc_ops=sc_ops, e_ops=e_ops, \n",
    "                   ntraj=1, nsubsteps=100, \n",
    "                   store_measurement=True,\n",
    "                   options=Options(store_states=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run the `smesolve` solver in parallel by passing the keyword argument `map_func=parallel_map`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('38%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 149.09s. Est. remaining time: 00:00:04:03.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('39%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 155.00s. Est. remaining time: 00:00:03:59.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('40%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 157.92s. Est. remaining time: 00:00:03:56.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('41%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 164.15s. Est. remaining time: 00:00:03:52.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('42%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 167.06s. Est. remaining time: 00:00:03:50.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('43%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 173.03s. Est. remaining time: 00:00:03:46.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('44%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 175.91s. Est. remaining time: 00:00:03:43.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('45%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 181.72s. Est. remaining time: 00:00:03:39.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('46%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 184.61s. Est. remaining time: 00:00:03:36.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('47%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 190.43s. Est. remaining time: 00:00:03:31.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('48%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 193.50s. Est. remaining time: 00:00:03:29.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('49%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 198.98s. Est. remaining time: 00:00:03:24.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('50%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 201.50s. Est. remaining time: 00:00:03:21.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('51%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 206.70s. Est. remaining time: 00:00:03:15.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('52%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 209.14s. Est. remaining time: 00:00:03:13.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('53%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 214.05s. Est. remaining time: 00:00:03:07.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('54%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 216.49s. Est. remaining time: 00:00:03:04.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('55%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 221.39s. Est. remaining time: 00:00:02:58.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('56%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 223.79s. Est. remaining time: 00:00:02:55.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('57%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 228.63s. Est. remaining time: 00:00:02:50.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('58%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 233.50s. Est. remaining time: 00:00:02:44.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('59%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 235.95s. Est. remaining time: 00:00:02:41.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('60%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 238.41s. Est. remaining time: 00:00:02:38.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('61%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 243.25s. Est. remaining time: 00:00:02:33.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('62%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 245.70s. Est. remaining time: 00:00:02:30.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('63%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 250.56s. Est. remaining time: 00:00:02:25.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('64%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 253.00s. Est. remaining time: 00:00:02:22.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('65%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 257.84s. Est. remaining time: 00:00:02:16.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('66%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 260.25s. Est. remaining time: 00:00:02:14.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('67%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 265.07s. Est. remaining time: 00:00:02:08.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('68%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 267.63s. Est. remaining time: 00:00:02:05.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('69%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 272.64s. Est. remaining time: 00:00:02:00.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('70%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 275.16s. Est. remaining time: 00:00:01:57.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('71%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 280.11s. Est. remaining time: 00:00:01:52.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('72%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 282.78s. Est. remaining time: 00:00:01:49.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('73%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 287.96s. Est. remaining time: 00:00:01:44.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('74%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 290.56s. Est. remaining time: 00:00:01:42.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('75%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 295.87s. Est. remaining time: 00:00:01:36.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('76%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 298.78s. Est. remaining time: 00:00:01:34.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('77%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 304.77s. Est. remaining time: 00:00:01:29.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('78%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 307.67s. Est. remaining time: 00:00:01:26.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('79%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 313.72s. Est. remaining time: 00:00:01:21.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('80%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 316.71s. Est. remaining time: 00:00:01:19.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('81%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 322.71s. Est. remaining time: 00:00:01:14.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('82%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 325.74s. Est. remaining time: 00:00:01:11.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('83%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 331.92s. Est. remaining time: 00:00:01:06.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('84%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 335.10s. Est. remaining time: 00:00:01:03.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('85%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 341.13s. Est. remaining time: 00:00:00:58.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('86%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 344.14s. Est. remaining time: 00:00:00:56.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('87%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 350.23s. Est. remaining time: 00:00:00:50.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('88%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 353.28s. Est. remaining time: 00:00:00:48.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('89%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 359.34s. Est. remaining time: 00:00:00:42.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('90%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 362.29s. Est. remaining time: 00:00:00:40.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('91%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 368.35s. Est. remaining time: 00:00:00:34.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('92%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 371.34s. Est. remaining time: 00:00:00:32.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('93%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 377.61s. Est. remaining time: 00:00:00:26.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('94%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 380.85s. Est. remaining time: 00:00:00:24.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('95%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 387.26s. Est. remaining time: 00:00:00:18.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('96%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 390.01s. Est. remaining time: 00:00:00:16.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('97%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 395.45s. Est. remaining time: 00:00:00:10.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('98%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 398.18s. Est. remaining time: 00:00:00:08.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('99%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 403.99s. Est. remaining time: 00:00:00:02.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('100%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 407.56s. Est. remaining time: 00:00:00:00.');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "$('div#4e057dc2-d05f-4357-92bf-f33be94685fe').width('100%');$('p#5e71edbb-7326-46a5-ad16-857e1bb7620b').text('Elapsed time: 407.66s');"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "result2 = photocurrent_mesolve(H, rho0, times, c_ops=c_ops, sc_ops=sc_ops, e_ops=e_ops, \n",
    "                   ntraj=ntraj, nsubsteps=100,\n",
    "                   store_measurement=True,\n",
    "                   options=Options(store_states=True),\n",
    "                   progress_bar=HTMLProgressBar(),\n",
    "                   map_func=parallel_map)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "# alternative: use the parallel_map based on IPython.parallel\n",
    "from qutip.ipynbtools import parallel_map as ip_parallel_map\n",
    "result2 = smesolve(H, rho0, times, c_ops=c_ops, sc_ops=sc_ops, e_ops=e_ops, \n",
    "                   ntraj=ntraj, nsubsteps=100, method='photocurrent',\n",
    "                   store_measurement=True,\n",
    "                   options=Options(store_states=True),\n",
    "                   progress_bar=HTMLProgressBar(),\n",
    "                   map_func=ip_parallel_map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 3, figsize=(16, 8), sharex=True)\n",
    "\n",
    "axes[0,0].plot(times, result1.expect[0], label=r'Stochastic ME (ntraj = 1)', lw=2)\n",
    "axes[0,0].plot(times, result_ref.expect[0], label=r'Lindblad ME', lw=2)\n",
    "axes[0,0].set_title(\"Cavity photon number (ntraj = 1)\")\n",
    "axes[0,0].legend()\n",
    "\n",
    "axes[1,0].plot(times, result2.expect[0], label=r'Stochatic ME (ntraj = %d)' % ntraj, lw=2)\n",
    "axes[1,0].plot(times, result_ref.expect[0], label=r'Lindblad ME', lw=2)\n",
    "axes[1,0].set_title(\"Cavity photon number (ntraj = 10)\")\n",
    "axes[1,0].legend()\n",
    "\n",
    "\n",
    "axes[0,1].plot(times, result1.expect[2], label=r'Stochastic ME (ntraj = 1)', lw=2)\n",
    "axes[0,1].plot(times, result_ref.expect[2], label=r'Lindblad ME', lw=2)\n",
    "axes[0,1].set_title(\"Qubit excition probability (ntraj = 1)\")\n",
    "axes[0,1].legend()\n",
    "\n",
    "axes[1,1].plot(times, result2.expect[2], label=r'Stochatic ME (ntraj = %d)' % ntraj, lw=2)\n",
    "axes[1,1].plot(times, result_ref.expect[2], label=r'Lindblad ME', lw=2)\n",
    "axes[1,1].set_title(\"Qubit excition probability (ntraj = %d)\" % ntraj)\n",
    "axes[1,1].legend()\n",
    "\n",
    "\n",
    "axes[0,2].step(times, dt * np.cumsum(result1.measurement[0].real), lw=2)\n",
    "axes[0,2].set_title(\"Cummulative photon detections (ntraj = 1)\")\n",
    "axes[1,2].step(times, dt * np.cumsum(np.array(result2.measurement).sum(axis=0).real) / ntraj, lw=2)\n",
    "axes[1,2].set_title(\"Cummulative avg. photon detections (ntraj = %d)\" % ntraj)\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Versions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><tr><th>Software</th><th>Version</th></tr><tr><td>QuTiP</td><td>4.4.0.dev0+ea5344d9</td></tr><tr><td>Numpy</td><td>1.16.0</td></tr><tr><td>SciPy</td><td>1.2.0</td></tr><tr><td>matplotlib</td><td>3.0.2</td></tr><tr><td>Cython</td><td>0.29.3</td></tr><tr><td>Number of CPUs</td><td>1</td></tr><tr><td>BLAS Info</td><td>OPENBLAS</td></tr><tr><td>IPython</td><td>7.2.0</td></tr><tr><td>Python</td><td>3.6.7 (default, Oct 22 2018, 11:32:17) \n",
       "[GCC 8.2.0]</td></tr><tr><td>OS</td><td>posix [linux]</td></tr><tr><td colspan='2'>Wed Jan 30 11:54:20 2019 JST</td></tr></table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qutip.ipynbtools import version_table\n",
    "\n",
    "version_table()"
   ]
  }
 ],
 "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": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}