dqe_jump_trajectories.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "import time\n",
    "import numpy as np\n",
    "source_path = os.path.join(\"source/\")\n",
    "sys.path.insert(0,source_path)\n",
    "import quantum_jumps as qj\n",
    "import random_linear_algebra\n",
    "source_path = os.path.join(\"models/\")\n",
    "sys.path.insert(0,source_path)\n",
    "import dissipative_quantum_east as dqe\n",
    "from scipy import linalg\n",
    "from matplotlib import pyplot\n",
    "from matplotlib import cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sites = 6\n",
    "decay_rate = 1\n",
    "field = 0.12\n",
    "temperature = 0.0096\n",
    "hardness = 1\n",
    "model = dqe.master_operator(sites, decay_rate, field, temperature, hardness, False)\n",
    "\n",
    "spin_z = 0.5*np.array([[1.0, 0.0], [0.0, -1.0]])\n",
    "local_magnetization = dqe.local_operators(spin_z, sites)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Run time: 0.7660212516784668\n"
     ]
    }
   ],
   "source": [
    "smallest_step_size = 10**(-3)\n",
    "evolver_number = 15\n",
    "initial_time = time.time()\n",
    "trajectory_generator = qj.jump_trajectory_generator(model, smallest_step_size, evolver_number)\n",
    "print(\"Run time: \" + str(time.time() - initial_time))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [
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     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Progress: 0%\n",
      "Progress: 10%\n",
      "Progress: 20%\n",
      "Progress: 30%\n",
      "Progress: 40%\n",
      "Progress: 50%\n",
      "Progress: 60%\n",
      "Progress: 70%\n",
      "Progress: 80%\n",
      "Progress: 90%\n",
      "Progress: 100%\n",
      "Run time: 125.56352305412292\n"
     ]
    }
   ],
   "source": [
    "initial_state = np.zeros((2**sites), dtype = complex)\n",
    "initial_state[0] = 1\n",
    "initial_time = time.time()\n",
    "trajectory = trajectory_generator.trajectory(initial_state, 100, 10**8, qj.expectations, local_magnetization)\n",
    "print(\"Run time: \" + str(time.time() - initial_time))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "pyplot.imshow(trajectory.real.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}