examples/braket_features/Getting_Devices_and_Checking_Device_Properties.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Getting Devices and Checking Device Properties\n",
    "\n",
    "This tutorial demonstrates how to use the `get_devices()` method to search and instantiate devices available on Amazon Braket. It also shows how to obtain access to properties for simulator and QPU devices."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# general imports\n",
    "import json\n",
    "from braket.aws import AwsDevice\n",
    "from braket.devices import LocalSimulator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using get_devices\n",
    "You can get a device, including the on-demand simulators and the QPUs, by calling the `get_devices()` method. Search for devices with one or more of the following filtering criteria:\n",
    "* device arn \n",
    "* name \n",
    "* type \n",
    "* status \n",
    "* provider_name. \n",
    "\n",
    "The following cells give examples for each of the cases."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting the device by type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "[Device('name': SV1, 'arn': arn:aws:braket:::device/quantum-simulator/amazon/sv1),\n Device('name': TN1, 'arn': arn:aws:braket:::device/quantum-simulator/amazon/tn1),\n Device('name': dm1, 'arn': arn:aws:braket:::device/quantum-simulator/amazon/dm1)]"
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# to get the on-demand simulators\n",
    "AwsDevice.get_devices(types=['SIMULATOR'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "[Device('name': Aspen-10, 'arn': arn:aws:braket:::device/qpu/rigetti/Aspen-10),\n Device('name': Aspen-11, 'arn': arn:aws:braket:::device/qpu/rigetti/Aspen-11),\n Device('name': Aspen-8, 'arn': arn:aws:braket:::device/qpu/rigetti/Aspen-8),\n Device('name': Aspen-9, 'arn': arn:aws:braket:::device/qpu/rigetti/Aspen-9),\n Device('name': Aspen-M-1, 'arn': arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-1),\n Device('name': IonQ Device, 'arn': arn:aws:braket:::device/qpu/ionq/ionQdevice)]"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# to get the list of QPUs\n",
    "AwsDevice.get_devices(types=['QPU'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting the device by ARN\n",
    "For every type of device available in Amazon Braket, you can find the associated ARN in the Amazon Braket [Developer Guide](https://docs.aws.amazon.com/braket/latest/developerguide/braket-devices.html). You also can view the device ARN on the `Devices` section in the Amazon Braket console."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "[Device('name': IonQ Device, 'arn': arn:aws:braket:::device/qpu/ionq/ionQdevice)]"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# for example, the following ARN refers to the IonQ device.\n",
    "AwsDevice.get_devices(arns=['arn:aws:braket:::device/qpu/ionq/ionQdevice'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting the device by name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "[Device('name': Aspen-M-2, 'arn': arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-2)]"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# for example, the following name refers to a Rigetti Aspen system.\n",
    "AwsDevice.get_devices(names=['Aspen-M-2'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting the device by status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "[Device('name': Aspen-11, 'arn': arn:aws:braket:::device/qpu/rigetti/Aspen-11),\n Device('name': Aspen-8, 'arn': arn:aws:braket:::device/qpu/rigetti/Aspen-8),\n Device('name': Aspen-M-2, 'arn': arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-2),\n Device('name': IonQ Device, 'arn': arn:aws:braket:::device/qpu/ionq/ionQdevice),\n Device('name': SV1, 'arn': arn:aws:braket:::device/quantum-simulator/amazon/sv1),\n Device('name': dm1, 'arn': arn:aws:braket:::device/quantum-simulator/amazon/dm1)]"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# retrieve all devices that are currently online\n",
    "AwsDevice.get_devices(statuses=['ONLINE'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "[Device('name': Aspen-M-1, 'arn': arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-1)]"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# retrieve all devices that are currently offline\n",
    "AwsDevice.get_devices(statuses=['OFFLINE'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting the device by provider_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "[Device('name': IonQ Device, 'arn': arn:aws:braket:::device/qpu/ionq/ionQdevice)]"
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# for example, the following ARN retrieves the IonQ device.\n",
    "AwsDevice.get_devices(provider_names=['IonQ'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Retrieve devices in order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "[Device('name': SV1, 'arn': arn:aws:braket:::device/quantum-simulator/amazon/sv1),\n Device('name': dm1, 'arn': arn:aws:braket:::device/quantum-simulator/amazon/dm1),\n Device('name': IonQ Device, 'arn': arn:aws:braket:::device/qpu/ionq/ionQdevice),\n Device('name': Aspen-10, 'arn': arn:aws:braket:::device/qpu/rigetti/Aspen-10),\n  Device('name': Aspen-8, 'arn': arn:aws:braket:::device/qpu/rigetti/Aspen-8),\n Device('name': Aspen-9, 'arn': arn:aws:braket:::device/qpu/rigetti/Aspen-9),\n Device('name': Aspen-M-1, 'arn': arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-1),\n Device('name': Aspen-11, 'arn': arn:aws:braket:::device/qpu/rigetti/Aspen-11)]"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# retrieve the list of devices, ordered by provider name\n",
    "AwsDevice.get_devices(order_by='provider_name')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting the device with multiple criteria"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": "[Device('name': Aspen-11, 'arn': arn:aws:braket:::device/qpu/rigetti/Aspen-11),\n Device('name': Aspen-8, 'arn': arn:aws:braket:::device/qpu/rigetti/Aspen-8),\n Device('name': Aspen-M-1, 'arn': arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-1),\n Device('name': IonQ Device, 'arn': arn:aws:braket:::device/qpu/ionq/ionQdevice)]"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# multiple criteria can be applied\n",
    "AwsDevice.get_devices(types=['QPU'],statuses=['ONLINE'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting a device directly\n",
    "You can specify a device directly, with the device ARN."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# specify a device directly by device ARN\n",
    "# Rigetti\n",
    "device = AwsDevice(\"arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-2\")\n",
    "# IonQ\n",
    "device = AwsDevice(\"arn:aws:braket:::device/qpu/ionq/ionQdevice\")\n",
    "# the on-demand simulator SV1\n",
    "device = AwsDevice(\"arn:aws:braket:::device/quantum-simulator/amazon/sv1\")\n",
    "# the on-demand simulator TN1\n",
    "device = AwsDevice(\"arn:aws:braket:::device/quantum-simulator/amazon/tn1\")\n",
    "# the local simulator\n",
    "device = LocalSimulator()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Properties of devices\n",
    "\n",
    "You can check properties of a device with the `device.properties` call. The following examples show some useful properties of each device."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The supported operations of SV1 are ['ccnot', 'cnot', 'cphaseshift', 'cphaseshift00', 'cphaseshift01', 'cphaseshift10', 'cswap', 'cy', 'cz', 'h', 'i', 'iswap', 'pswap', 'phaseshift', 'rx', 'ry', 'rz', 's', 'si', 'swap', 't', 'ti', 'unitary', 'v', 'vi', 'x', 'xx', 'xy', 'y', 'yy', 'z', 'zz']\n",
      "\n",
      "The supported result types are [ResultType(name='Sample', observables=['x', 'y', 'z', 'h', 'i', 'hermitian'], minShots=1, maxShots=100000), ResultType(name='Expectation', observables=['x', 'y', 'z', 'h', 'i', 'hermitian'], minShots=0, maxShots=100000), ResultType(name='Variance', observables=['x', 'y', 'z', 'h', 'i', 'hermitian'], minShots=0, maxShots=100000), ResultType(name='Probability', observables=None, minShots=1, maxShots=100000), ResultType(name='Amplitude', observables=None, minShots=0, maxShots=0)]\n",
      "\n",
      "The maximum number of qubits supported by this device is 34\n",
      "The shots range of this device is (0, 100000)\n",
      "The price of running tasks on this device: price=0.075 unit='minute'\n"
     ]
    }
   ],
   "source": [
    "# the on-demand simulator SV1\n",
    "device = AwsDevice(\"arn:aws:braket:::device/quantum-simulator/amazon/sv1\")\n",
    "\n",
    "support_gates = device.properties.action['braket.ir.jaqcd.program'].supportedOperations\n",
    "support_result_types = device.properties.action['braket.ir.jaqcd.program'].supportedResultTypes\n",
    "qubit_count = device.properties.paradigm.qubitCount\n",
    "shots_range = device.properties.service.shotsRange\n",
    "device_cost = device.properties.service.deviceCost\n",
    "\n",
    "print(f'The supported operations of {device.name} are {support_gates}\\n')\n",
    "print(f'The supported result types are {support_result_types}\\n')\n",
    "print('The maximum number of qubits supported by this device is', qubit_count)\n",
    "print('The shots range of this device is', shots_range)\n",
    "print('The price of running tasks on this device:', device_cost)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the IonQ and Rigetti devices, you can get information about the properties shown previously. You also can get information about the availability windows and the device calibration data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The availability windows for Aspen-M-2:\n",
      "[DeviceExecutionWindow(executionDay=<ExecutionDay.EVERYDAY: 'Everyday'>, windowStartHour=datetime.time(15, 0), windowEndHour=datetime.time(20, 0))]\n",
      "\n",
      "The connectivity graph of the qubits for this device:\n",
      " fullyConnected=False connectivityGraph={'0': ['1', '7'], '1': ['0', '16', '2'], '10': ['11', '113', '17'], '100': ['101', '107'], '101': ['100', '102', '116'], '102': ['101', '103', '115'], '103': ['102', '104'], '104': ['103', '105', '7'], '105': ['104', '106'], '106': ['105', '107'], '107': ['100', '106'], '11': ['10', '12', '26'], '110': ['111', '117'], '111': ['110', '112', '126'], '112': ['111', '113'], '113': ['10', '112', '114'], '114': ['113', '115', '17'], '115': ['102', '114', '116'], '116': ['101', '115', '117'], '117': ['110', '116'], '12': ['11', '13', '25'], '120': ['121', '127'], '121': ['120', '122', '136'], '122': ['121', '123', '135'], '123': ['122', '124', '20'], '124': ['123', '125', '27'], '125': ['124', '126'], '126': ['111', '125', '127'], '127': ['120', '126'], '13': ['12', '14'], '130': ['131', '137'], '131': ['130', '132', '146'], '132': ['131', '133', '145'], '133': ['132', '134', '30'], '134': ['133', '135', '37'], '135': ['122', '134', '136'], '136': ['121', '135', '137'], '137': ['130', '136'], '14': ['13', '15'], '140': ['141', '147'], '141': ['140', '142'], '142': ['141', '143'], '143': ['142', '144', '40'], '144': ['143', '145', '47'], '145': ['132', '144', '146'], '146': ['131', '145', '147'], '147': ['140', '146'], '15': ['14', '16', '2'], '16': ['1', '15', '17'], '17': ['10', '16', '114'], '2': ['1', '15', '3'], '20': ['123', '21', '27'], '21': ['20', '22', '36'], '22': ['21', '23', '35'], '23': ['22', '24'], '24': ['23', '25'], '25': ['12', '24', '26'], '26': ['11', '25', '27'], '27': ['20', '26', '124'], '3': ['2', '4'], '30': ['133', '31', '37'], '31': ['30', '32', '46'], '32': ['31', '33', '45'], '33': ['32', '34'], '34': ['33', '35'], '35': ['22', '34', '36'], '36': ['21', '35', '37'], '37': ['30', '36', '134'], '4': ['3', '5'], '40': ['143', '41', '47'], '41': ['40', '42'], '42': ['41', '43'], '43': ['42', '44'], '44': ['43', '45'], '45': ['32', '44', '46'], '46': ['31', '45', '47'], '47': ['40', '46', '144'], '5': ['4', '6'], '6': ['5', '7'], '7': ['0', '6', '104']}\n",
      "\n",
      "Calibration data:\n",
      " {\n",
      "  \"1Q\": {\n",
      "    \"0\": {\n",
      "      \"T1\": 8.777348365240911e-06,\n",
      "      \"T2\": 1.4387746662680443e-05,\n",
      "      \"f1QRB\": 0.998504263416883,\n",
      "      \"f1QRB_std_err\": 0.000200939668822899,\n",
      "      \"f1Q_simultaneous_RB\": 0.9303976571661898,\n",
      "      \"f1Q_simultaneous_RB_std_err\": 0.01832843535640074,\n",
      "      \"fActiveReset\": 0.983,\n",
      "      \"fRO\": 0.7455\n",
      "    },\n",
      "    \"1\": {\n",
      "      \"T1\": 5.6366506444582853e-05,\n",
      "      \"T2\": 2.6242615804514876e-06,\n",
      "      \"f1QRB\": 0.998504263416883,\n",
      "      \"f1QRB_std_err\": 0.000200939668822899,\n",
      "      \"f1Q_simultaneous_RB\": 0.9460049849871673,\n",
      "      \"f1Q_simultaneous_RB_std_err\": 0.015573861338627268,\n",
      "      \"fActiveReset\": 0.985,\n",
      "      \"fRO\": 0.8540000000000001\n",
      "    },\n",
      "    \"10\": {\n",
      "      \"T1\": 2.4649825183020724e-05,\n",
      "      \"T2\": 2.112458278475246e-05,\n",
      "      \"f1QRB\": 0.998567587494012,\n",
      "      \"f1QRB_std_err\": 0.000207675573751291,\n",
      "      \"f1Q_simultaneous_RB\": 0.9979683963345315,\n",
      "      \"f1Q_simultaneous_RB_std_err\": 0.00020991123805034803,\n",
      "      \"fActiveReset\": 0.9995,\n",
      "      \"fRO\": 0.97\n",
      "    },\n",
      "    \"100\": {\n",
      "      \"T1\": 1.4605161566150215e-05,\n",
      "      \"T2\": 8.902523025740775e-06,\n",
      "      \"f1QRB\": 0.997775892122462,\n",
      "      \"f1QRB_std_err\": 0.000374351563384802,\n",
      "      \"f1Q_simultaneous_RB\": 0.9961567026311122,\n",
      "      \"f1Q_simultaneous_RB_std_err\": 0.0002573088587404397,\n",
      "      \"fActiveReset\": 0.9855000000000002,\n",
      "      \"fRO\": 0.966\n",
      "    },\n",
      "    \"101\": {\n",
      "      \"T1\": 3.470265115845805e-05,\n",
      "      \"T2\": 1.597107188692292e-05,\n",
      "      \"f1QRB\": 0.997775892122462,\n",
      "      \"f1QRB_std_err\": 0.000374351563384802,\n",
      "      \"f1Q_simultaneous_RB\": 0.9970276543696347,\n",
      "      \"f1Q_simultaneous_RB_std_err\": 0.00013096176594054902,\n",
      "      \"fActiveReset\": 0.9475,\n",
      "      \"fRO\": 0.9835\n",
      "    },\n",
      "    \"102\": {\n",
      "      \"T1\": 3.108759865555477e-05,\n",
      "      \"T2\": 9.128937181043585e-06,\n",
      "      \"f1QRB\": 0.997775892122462,\n",
      "      \"f1QRB_std_err\": 0.000374351563384802,\n",
      "      \"f1Q_simultaneous_RB\": 0.9976099333865556,\n",
      "      \"f1Q_simultaneous_RB_std_err\": 0.00018672092358221307,\n",
      "      \"fActiveReset\": 0.9975,\n",
      "      \"fRO\": 0.97\n",
      "    },\n",
      "    \"103\": {\n",
      "      \"T1\": 2.4162789957538067e-05,\n",
      "      \"T2\": 3.320981405023996e-05,\n",
      "      \"f1QRB\": 0.997775892122462,\n",
      "      \"f1QRB_std_err\": 0.000374351563384802,\n",
      "      \"f1Q_simultaneous_RB\": 0.9976510417447488,\n",
      "      \"f1Q_simultaneous_RB_std_err\": 0.00019191885187922028,\n",
      "      \"fActiveReset\": 0.9985,\n",
      "      \"fRO\": 0.983\n",
      "    },\n",
      "    \"104\": {\n",
      "      \"T1\": 1.1231745568052176e-05,\n",
      "      \"T2\": 2.41162039532837e-06,\n",
      "      \"f1QRB\": 0.997775892122462,\n",
      "      \"f1QRB_std_err\": 0.000374351563384802,\n",
      "      \"f1Q_simultaneous_RB\": 0.9214629936027059,\n",
      "      \"f1Q_simultaneous_RB_std_err\": 0.02750707475639154,\n",
      "      \"fActiveReset\": 0.7835,\n",
      "      \"fRO\": 0.6910000000000001\n",
      "    },\n",
      "    \"105\": {\n",
      "      \"T1\": 2.194007430622591e-05,\n",
      "      \"T2\": 9.166301159022885e-06,\n",
      "      \"f1QRB\": 0.997775892122462,\n",
      "      \"f1QRB_std_err\": 0.000374351563384802,\n",
      "      \"f1Q_simultaneous_RB\": 0.9963657123115162,\n",
      "      \"f1Q_simultaneous_RB_std_err\": 0.00011396815287868675,\n",
      "      \"fActiveReset\": 0.9975,\n",
      "      \"fRO\": 0.975\n",
      "    },\n",
      "    \"106\": {\n",
      "      \"T1\": 9.167404134258206e-06,\n",
      "      \"T2\": 3.5514114878112702e-06,\n",
      "      \"f1QRB\": 0.997775892122462,\n",
      "      \"f1QRB_std_err\": 0.000374351563384802,\n",
      "      \"f1Q_simultaneous_RB\": 0.9908088608494778,\n",
      "      \"f1Q_simultaneous_RB_std_err\": 0.0006521411302170585,\n",
      "      \"fActiveReset\": 0.995,\n",
      "      \"fRO\": 0.977\n",
      "    },\n",
      "    \"107\": {\n",
      "      \"T1\": 2.7364319175493534e-05,\n",
      "      \"T2\": 1.728370149460824e-05,\n",
      "      \"f1QRB\": 0.997775892122462,\n",
      "      \"f1QRB_std_err\": 0.000374351563384802,\n",
      "      \"f1Q_simultaneous_RB\": 0.998360745533851,\n",
      "      \"f1Q_simultaneous_RB_std_err\": 0.00013243327201981094,\n",
      "      \"fActiveReset\": 0.9935,\n",
      "      \"fRO\": 0.9435\n",
      "    },\n",
      "    \"11\": {\n",
      "      \"T1\": 4.242363601303367e-05,\n",
      "      \"T2\": 1.897668630009837e-05,\n",
      "      \"f1QRB\": 0.998567587494012,\n",
      "      \"f1QRB_std_err\": 0.000207675573751291,\n",
      "      \"f1Q_simultaneous_RB\": 0.9979463434832029,\n",
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      "      \"fXY\": 0.8252419892398489,\n",
      "      \"fXY_std_err\": 0.009394429704878264\n",
      "    },\n",
      "    \"20-21\": {\n",
      "      \"fCPHASE\": 0.7899019718604859,\n",
      "      \"fCPHASE_std_err\": 0.009411264368555643,\n",
      "      \"fCZ\": 0.8703538536793619,\n",
      "      \"fCZ_std_err\": 0.007022811723452874,\n",
      "      \"fXY\": 0.8158581549695172,\n",
      "      \"fXY_std_err\": 0.006946473176179534\n",
      "    },\n",
      "    \"20-27\": {\n",
      "      \"fCPHASE\": 0.8763753230954336,\n",
      "      \"fCPHASE_std_err\": 0.00625207371316308,\n",
      "      \"fCZ\": 0.799166480232074,\n",
      "      \"fCZ_std_err\": 0.011411993102178204,\n",
      "      \"fXY\": 0.7669325786102402,\n",
      "      \"fXY_std_err\": 0.008614043444124643\n",
      "    },\n",
      "    \"21-22\": {\n",
      "      \"fCPHASE\": 0.8835474050687498,\n",
      "      \"fCPHASE_std_err\": 0.0060384365641641055,\n",
      "      \"fCZ\": 0.9675174474620992,\n",
      "      \"fCZ_std_err\": 0.006112861032233331,\n",
      "      \"fXY\": 0.9593856978684502,\n",
      "      \"fXY_std_err\": 0.004675001579611297\n",
      "    },\n",
      "    \"21-36\": {\n",
      "      \"fCPHASE\": 0.9616282669985771,\n",
      "      \"fCPHASE_std_err\": 0.009142346642293296,\n",
      "      \"fCZ\": 0.9871653545386891,\n",
      "      \"fCZ_std_err\": 0.003026822786756953,\n",
      "      \"fXY\": 0.9618414413527681,\n",
      "      \"fXY_std_err\": 0.007531528854368184\n",
      "    },\n",
      "    \"22-23\": {\n",
      "      \"fCPHASE\": 0.8797682013391236,\n",
      "      \"fCPHASE_std_err\": 0.006863178602224026,\n",
      "      \"fCZ\": 0.9433671108935797,\n",
      "      \"fCZ_std_err\": 0.008139329201793282,\n",
      "      \"fXY\": 0.9652840558375136,\n",
      "      \"fXY_std_err\": 0.006241995575404114\n",
      "    },\n",
      "    \"22-35\": {\n",
      "      \"fCPHASE\": 0.9080011737139104,\n",
      "      \"fCPHASE_std_err\": 0.004355936765447585,\n",
      "      \"fCZ\": 0.9112749783878215,\n",
      "      \"fCZ_std_err\": 0.006986762028397102,\n",
      "      \"fXY\": 0.9806907358502073,\n",
      "      \"fXY_std_err\": 0.004704057188026671\n",
      "    },\n",
      "    \"23-24\": {\n",
      "      \"fCPHASE\": 0.9569750181774397,\n",
      "      \"fCPHASE_std_err\": 0.007574992417364864,\n",
      "      \"fCZ\": 0.9681453299247146,\n",
      "      \"fCZ_std_err\": 0.00508749895754165,\n",
      "      \"fXY\": 0.8416917105635126,\n",
      "      \"fXY_std_err\": 0.006732002502778592\n",
      "    },\n",
      "    \"24-25\": {\n",
      "      \"fCPHASE\": 0.8658350938592758,\n",
      "      \"fCPHASE_std_err\": 0.021909272442443176,\n",
      "      \"fCZ\": 0.984128639829115,\n",
      "      \"fCZ_std_err\": 0.0026998808555934325,\n",
      "      \"fXY\": 0.9827905160840157,\n",
      "      \"fXY_std_err\": 0.0034710695867806503\n",
      "    },\n",
      "    \"25-26\": {\n",
      "      \"fCPHASE\": 0.8374713018133112,\n",
      "      \"fCPHASE_std_err\": 0.010468040876200317,\n",
      "      \"fCZ\": 0.8018425294114914,\n",
      "      \"fCZ_std_err\": 0.014235856445919192,\n",
      "      \"fXY\": 0.9052719848120904,\n",
      "      \"fXY_std_err\": 0.005569411999606964\n",
      "    },\n",
      "    \"26-27\": {\n",
      "      \"fCPHASE\": 0.9484835812485717,\n",
      "      \"fCPHASE_std_err\": 0.007829961706098426,\n",
      "      \"fCZ\": 0.9012630325528697,\n",
      "      \"fCZ_std_err\": 0.004691716240046407,\n",
      "      \"fXY\": 0.953585694103604,\n",
      "      \"fXY_std_err\": 0.010932206430380766\n",
      "    },\n",
      "    \"27-124\": {\n",
      "      \"fCPHASE\": 0.8638133235975534,\n",
      "      \"fCPHASE_std_err\": 0.021794684669212708,\n",
      "      \"fCZ\": 0.8787593624565879,\n",
      "      \"fCZ_std_err\": 0.023267015943500925,\n",
      "      \"fXY\": 0.8732572235376224,\n",
      "      \"fXY_std_err\": 0.04702368958531526\n",
      "    },\n",
      "    \"3-4\": {\n",
      "      \"fCPHASE\": 0.8236032034332953,\n",
      "      \"fCPHASE_std_err\": 0.009637889740194503,\n",
      "      \"fCZ\": 0.9631654556896767,\n",
      "      \"fCZ_std_err\": 0.006883806965521097,\n",
      "      \"fXY\": 0.8160515267766147,\n",
      "      \"fXY_std_err\": 0.012395715402937168\n",
      "    },\n",
      "    \"30-133\": {\n",
      "      \"fCPHASE\": 0.850145462488844,\n",
      "      \"fCPHASE_std_err\": 0.01168941595728125,\n",
      "      \"fCZ\": 0.835269201359459,\n",
      "      \"fCZ_std_err\": 0.011802776547716056,\n",
      "      \"fXY\": 0.8451511697574544,\n",
      "      \"fXY_std_err\": 0.007428569073776654\n",
      "    },\n",
      "    \"30-31\": {\n",
      "      \"fCPHASE\": 0.7959482238289587,\n",
      "      \"fCPHASE_std_err\": 0.009599101830901808,\n",
      "      \"fCZ\": 0.8347314059950581,\n",
      "      \"fCZ_std_err\": 0.007943197234786764,\n",
      "      \"fXY\": 0.8741391749172258,\n",
      "      \"fXY_std_err\": 0.005827549306131333\n",
      "    },\n",
      "    \"30-37\": {\n",
      "      \"fCPHASE\": 0.8145099941776652,\n",
      "      \"fCPHASE_std_err\": 0.009368198118349361,\n",
      "      \"fCZ\": 0.8635580585784683,\n",
      "      \"fCZ_std_err\": 0.00810366449996026,\n",
      "      \"fXY\": 0.90240849694021,\n",
      "      \"fXY_std_err\": 0.005049518848030976\n",
      "    },\n",
      "    \"31-32\": {\n",
      "      \"fCPHASE\": 0.8122877362351132,\n",
      "      \"fCPHASE_std_err\": 0.012044800753909436,\n",
      "      \"fCZ\": 0.8399060477451475,\n",
      "      \"fCZ_std_err\": 0.014714830688181652,\n",
      "      \"fXY\": 0.8302699874100965,\n",
      "      \"fXY_std_err\": 0.013009830172898642\n",
      "    },\n",
      "    \"31-46\": {\n",
      "      \"fCPHASE\": 0.9639175020002607,\n",
      "      \"fCPHASE_std_err\": 0.00556452031578792,\n",
      "      \"fCZ\": 0.9899490016021413,\n",
      "      \"fCZ_std_err\": 0.002117361396498773,\n",
      "      \"fXY\": 0.9893403896755063,\n",
      "      \"fXY_std_err\": 0.0022178340508080896\n",
      "    },\n",
      "    \"32-33\": {\n",
      "      \"fCPHASE\": 0.8902505914708183,\n",
      "      \"fCPHASE_std_err\": 0.006294531513856973,\n",
      "      \"fCZ\": 0.9358403617020014,\n",
      "      \"fCZ_std_err\": 0.009388054807090016,\n",
      "      \"fXY\": 0.9546362970029817,\n",
      "      \"fXY_std_err\": 0.007553442226022641\n",
      "    },\n",
      "    \"32-45\": {\n",
      "      \"fCPHASE\": 0.872231361471259,\n",
      "      \"fCPHASE_std_err\": 0.01121985823707833,\n",
      "      \"fCZ\": 0.9738444794692535,\n",
      "      \"fCZ_std_err\": 0.0043942654522665485\n",
      "    },\n",
      "    \"33-34\": {\n",
      "      \"fCPHASE\": 0.7958929831240406,\n",
      "      \"fCPHASE_std_err\": 0.015425462116718731,\n",
      "      \"fCZ\": 0.8651742677416149,\n",
      "      \"fCZ_std_err\": 0.007592588486357907,\n",
      "      \"fXY\": 0.8835390987642395,\n",
      "      \"fXY_std_err\": 0.0043867947035354325\n",
      "    },\n",
      "    \"34-35\": {\n",
      "      \"fCPHASE\": 0.859602533039039,\n",
      "      \"fCPHASE_std_err\": 0.009138076035450015,\n",
      "      \"fCZ\": 0.9715705945287438,\n",
      "      \"fCZ_std_err\": 0.006301031003720571\n",
      "    },\n",
      "    \"35-36\": {\n",
      "      \"fXY\": 0.9774969885122631,\n",
      "      \"fXY_std_err\": 0.0033829465454611072\n",
      "    },\n",
      "    \"36-37\": {\n",
      "      \"fCPHASE\": 0.9092561183890484,\n",
      "      \"fCPHASE_std_err\": 0.0058376807088631735,\n",
      "      \"fCZ\": 0.9784518885903303,\n",
      "      \"fCZ_std_err\": 0.003029130589787604,\n",
      "      \"fXY\": 0.9875603191593725,\n",
      "      \"fXY_std_err\": 0.002358423302265576\n",
      "    },\n",
      "    \"37-134\": {\n",
      "      \"fCPHASE\": 0.9146399454060954,\n",
      "      \"fCPHASE_std_err\": 0.004337076992693843,\n",
      "      \"fCZ\": 0.934092256502296,\n",
      "      \"fCZ_std_err\": 0.008770591000249005,\n",
      "      \"fXY\": 0.8682740375243889,\n",
      "      \"fXY_std_err\": 0.006471746052616916\n",
      "    },\n",
      "    \"4-5\": {\n",
      "      \"fCPHASE\": 0.8552743505131355,\n",
      "      \"fCPHASE_std_err\": 0.007608179558157967,\n",
      "      \"fCZ\": 0.9706519855005057,\n",
      "      \"fCZ_std_err\": 0.005554291023953174,\n",
      "      \"fXY\": 0.8624177383174734,\n",
      "      \"fXY_std_err\": 0.006925013192967286\n",
      "    },\n",
      "    \"40-143\": {\n",
      "      \"fCPHASE\": 0.7600839684763812,\n",
      "      \"fCPHASE_std_err\": 0.01455730512726115,\n",
      "      \"fCZ\": 0.8104453814594197,\n",
      "      \"fCZ_std_err\": 0.00992447081179879,\n",
      "      \"fXY\": 0.905776157678926,\n",
      "      \"fXY_std_err\": 0.005978628164178389\n",
      "    },\n",
      "    \"40-41\": {\n",
      "      \"fCPHASE\": 0.7616214479970531,\n",
      "      \"fCPHASE_std_err\": 0.0153397409764428,\n",
      "      \"fCZ\": 0.7990943294436262,\n",
      "      \"fCZ_std_err\": 0.010747152786691874,\n",
      "      \"fXY\": 0.8988201697808387,\n",
      "      \"fXY_std_err\": 0.0052605650112824524\n",
      "    },\n",
      "    \"40-47\": {\n",
      "      \"fCPHASE\": 0.7168934897637623,\n",
      "      \"fCPHASE_std_err\": 0.02194610037601451,\n",
      "      \"fCZ\": 0.9032407469051222,\n",
      "      \"fCZ_std_err\": 0.02019307343891585,\n",
      "      \"fXY\": 0.9786320871734574,\n",
      "      \"fXY_std_err\": 0.005267238871515598\n",
      "    },\n",
      "    \"41-42\": {\n",
      "      \"fCPHASE\": 0.8604180987325472,\n",
      "      \"fCPHASE_std_err\": 0.00925843597058478,\n",
      "      \"fCZ\": 0.9533150920640057,\n",
      "      \"fCZ_std_err\": 0.01097766567033766,\n",
      "      \"fXY\": 0.9586422965574871,\n",
      "      \"fXY_std_err\": 0.007132225169109244\n",
      "    },\n",
      "    \"42-43\": {\n",
      "      \"fCPHASE\": 0.8423849056255256,\n",
      "      \"fCPHASE_std_err\": 0.010008919179737015,\n",
      "      \"fCZ\": 0.917858001758817,\n",
      "      \"fCZ_std_err\": 0.012413160703071257,\n",
      "      \"fXY\": 0.8141502882786736,\n",
      "      \"fXY_std_err\": 0.01184872526534798\n",
      "    },\n",
      "    \"43-44\": {\n",
      "      \"fCPHASE\": 0.7537923626609487,\n",
      "      \"fCPHASE_std_err\": 0.015080828085127,\n",
      "      \"fCZ\": 0.8611710085628796,\n",
      "      \"fCZ_std_err\": 0.008865627688122714,\n",
      "      \"fXY\": 0.942283542329304,\n",
      "      \"fXY_std_err\": 0.009503765439193682\n",
      "    },\n",
      "    \"44-45\": {\n",
      "      \"fCPHASE\": 0.8299030141719563,\n",
      "      \"fCPHASE_std_err\": 0.009857478899323988,\n",
      "      \"fCZ\": 0.9557288578270758,\n",
      "      \"fCZ_std_err\": 0.006702511019316729,\n",
      "      \"fXY\": 0.8996048966729704,\n",
      "      \"fXY_std_err\": 0.004152212435951456\n",
      "    },\n",
      "    \"45-46\": {\n",
      "      \"fCPHASE\": 0.9675162959658308,\n",
      "      \"fCPHASE_std_err\": 0.008914968542324951,\n",
      "      \"fCZ\": 0.965380988480898,\n",
      "      \"fCZ_std_err\": 0.00600956773698424,\n",
      "      \"fXY\": 0.9811754888501525,\n",
      "      \"fXY_std_err\": 0.002809467046863083\n",
      "    },\n",
      "    \"46-47\": {\n",
      "      \"fCPHASE\": 0.9550132096198518,\n",
      "      \"fCPHASE_std_err\": 0.011101139047072738,\n",
      "      \"fCZ\": 0.9334902005702788,\n",
      "      \"fCZ_std_err\": 0.013121527876568584,\n",
      "      \"fXY\": 0.9598039171384231,\n",
      "      \"fXY_std_err\": 0.008923248606730105\n",
      "    },\n",
      "    \"47-144\": {\n",
      "      \"fCPHASE\": 0.8982407044055271,\n",
      "      \"fCPHASE_std_err\": 0.00621785488733503,\n",
      "      \"fCZ\": 0.9394007045007381,\n",
      "      \"fCZ_std_err\": 0.010877234167113965,\n",
      "      \"fXY\": 0.7767641365585107,\n",
      "      \"fXY_std_err\": 0.0173400113341025\n",
      "    },\n",
      "    \"5-6\": {\n",
      "      \"fCPHASE\": 0.8856589225078974,\n",
      "      \"fCPHASE_std_err\": 0.007252911389298091,\n",
      "      \"fCZ\": 0.9548890325016192,\n",
      "      \"fCZ_std_err\": 0.0053040819246874624,\n",
      "      \"fXY\": 0.9708587201438419,\n",
      "      \"fXY_std_err\": 0.004633224705448535\n",
      "    },\n",
      "    \"6-7\": {\n",
      "      \"fCPHASE\": 0.8390933924372902,\n",
      "      \"fCPHASE_std_err\": 0.009445019626481147,\n",
      "      \"fCZ\": 0.9418483009558972,\n",
      "      \"fCZ_std_err\": 0.01218466822075986,\n",
      "      \"fXY\": 0.9661361224326979,\n",
      "      \"fXY_std_err\": 0.009003517168496214\n",
      "    },\n",
      "    \"7-104\": {\n",
      "      \"fXY\": 0.6631486133799958,\n",
      "      \"fXY_std_err\": 0.010365519549584151\n",
      "    }\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "# the IonQ device\n",
    "device = AwsDevice(\"arn:aws:braket:::device/qpu/ionq/ionQdevice\")\n",
    "\n",
    "# the Rigetti device\n",
    "device = AwsDevice(\"arn:aws:braket:us-west-1::device/qpu/rigetti/Aspen-M-2\")\n",
    "\n",
    "execution_windows = device.properties.service.executionWindows\n",
    "connectivity_graph = device.properties.paradigm.connectivity\n",
    "calibration = device.properties.provider.specs\n",
    "\n",
    "print(f'The availability windows for {device.name}:\\n{execution_windows}\\n')\n",
    "print(f'The connectivity graph of the qubits for this device:\\n {connectivity_graph}\\n')\n",
    "print('Calibration data:\\n', json.dumps(calibration,sort_keys=True,indent=2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each device has more properties to explore. To learn more, view the [Amazon Braket schemas documentation](https://amazon-braket-schemas-python.readthedocs.io/en/latest/_apidoc/braket.device_schema.html)."
   ]
  }
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