after 10/25 job run of the full notebook

examples/advanced_circuits_algorithms/Violation_of_Bells_Inequality/Violation_of_Bells_Inequality.ipynb

@@ -58,8 +58,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 1,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:23.937827Z",
+     "iopub.status.busy": "2022-10-24T13:25:23.937072Z",
+     "iopub.status.idle": "2022-10-24T13:25:24.496214Z",
+     "shell.execute_reply": "2022-10-24T13:25:24.495066Z"
+    }
+   },
    "outputs": [],
    "source": [
     "# Use Braket SDK Cost Tracking to estimate the cost to run this example\n",
@@ -69,12 +76,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
+   "execution_count": 2,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:24.504046Z",
+     "iopub.status.busy": "2022-10-24T13:25:24.503013Z",
+     "iopub.status.idle": "2022-10-24T13:25:27.389111Z",
+     "shell.execute_reply": "2022-10-24T13:25:27.387999Z"
+    }
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 500x300 with 2 Axes>"
       ]
@@ -122,8 +136,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
+   "execution_count": 3,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:27.476497Z",
+     "iopub.status.busy": "2022-10-24T13:25:27.476065Z",
+     "iopub.status.idle": "2022-10-24T13:25:30.794969Z",
+     "shell.execute_reply": "2022-10-24T13:25:30.793788Z"
+    }
+   },
    "outputs": [],
    "source": [
     "from braket.aws import AwsDevice, AwsQuantumTask\n",
@@ -133,8 +154,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
+   "execution_count": 4,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:30.802476Z",
+     "iopub.status.busy": "2022-10-24T13:25:30.801779Z",
+     "iopub.status.idle": "2022-10-24T13:25:30.811403Z",
+     "shell.execute_reply": "2022-10-24T13:25:30.810331Z"
+    }
+   },
    "outputs": [],
    "source": [
     "def bell_singlet(qubit0, qubit1):\n",
@@ -143,8 +171,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:30.816989Z",
+     "iopub.status.busy": "2022-10-24T13:25:30.816495Z",
+     "iopub.status.idle": "2022-10-24T13:25:30.827279Z",
+     "shell.execute_reply": "2022-10-24T13:25:30.826259Z"
+    },
     "scrolled": true
    },
    "outputs": [
@@ -184,8 +218,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
+   "execution_count": 6,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:30.834443Z",
+     "iopub.status.busy": "2022-10-24T13:25:30.833797Z",
+     "iopub.status.idle": "2022-10-24T13:25:30.841126Z",
+     "shell.execute_reply": "2022-10-24T13:25:30.840224Z"
+    }
+   },
    "outputs": [],
    "source": [
     "def bell_singlet_rotated(qubit0, qubit1, rotation0, rotation1):\n",
@@ -207,8 +248,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
+   "execution_count": 7,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:30.847025Z",
+     "iopub.status.busy": "2022-10-24T13:25:30.846515Z",
+     "iopub.status.idle": "2022-10-24T13:25:30.856701Z",
+     "shell.execute_reply": "2022-10-24T13:25:30.855734Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -234,15 +282,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
+   "execution_count": 8,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:30.863736Z",
+     "iopub.status.busy": "2022-10-24T13:25:30.863237Z",
+     "iopub.status.idle": "2022-10-24T13:25:31.384171Z",
+     "shell.execute_reply": "2022-10-24T13:25:31.383035Z"
+    }
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "P(a,b) = -0.5026,P(a,c) = 0.5074000000000001,P(b,c) = -0.5087999999999999\n",
-      "Bell inequality: 1.5188000000000001 ≤ 1\n"
+      "P(a,b) = -0.49340000000000006,P(a,c) = 0.5224,P(b,c) = -0.4778\n",
+      "Bell inequality: 1.4936 ≤ 1\n"
      ]
     }
    ],
@@ -272,8 +327,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
+   "execution_count": 9,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:31.390576Z",
+     "iopub.status.busy": "2022-10-24T13:25:31.390107Z",
+     "iopub.status.idle": "2022-10-24T13:25:31.408540Z",
+     "shell.execute_reply": "2022-10-24T13:25:31.407410Z"
+    }
+   },
    "outputs": [],
    "source": [
     "def submit_bell_tasks(device, shots=1_000):\n",
@@ -311,8 +373,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
+   "execution_count": 10,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:31.417008Z",
+     "iopub.status.busy": "2022-10-24T13:25:31.416175Z",
+     "iopub.status.idle": "2022-10-24T13:25:31.504790Z",
+     "shell.execute_reply": "2022-10-24T13:25:31.503134Z"
+    }
+   },
    "outputs": [],
    "source": [
     "local_sim = LocalSimulator()\n",
@@ -321,17 +390,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 11,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:31.514330Z",
+     "iopub.status.busy": "2022-10-24T13:25:31.512062Z",
+     "iopub.status.idle": "2022-10-24T13:25:31.523627Z",
+     "shell.execute_reply": "2022-10-24T13:25:31.522518Z"
+    },
     "scrolled": true
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "P(a,b) = -0.476,P(a,c) = 0.512,P(b,c) = -0.522\n",
-      "Bell's' inequality: 1.51 ≤ 1\n",
+      "P(a,b) = -0.544,P(a,c) = 0.52,P(b,c) = -0.51\n",
+      "Bell's' inequality: 1.574 ≤ 1\n",
       "Bell's inequality is violated!\n",
       "Notice that the quantity is not exactly 1.5 as predicted by theory. This is may be due to less number shots or the effects of noise on the QPU.\n"
      ]
@@ -362,8 +437,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
+   "execution_count": 12,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:31.532859Z",
+     "iopub.status.busy": "2022-10-24T13:25:31.530536Z",
+     "iopub.status.idle": "2022-10-24T13:25:34.483427Z",
+     "shell.execute_reply": "2022-10-24T13:25:34.482120Z"
+    }
+   },
    "outputs": [],
    "source": [
     "oqc_lucy = AwsDevice(\"arn:aws:braket:eu-west-2::device/qpu/oqc/Lucy\")\n",
@@ -372,11 +454,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-24T13:25:34.490128Z",
+     "iopub.status.busy": "2022-10-24T13:25:34.489285Z",
+     "iopub.status.idle": "2022-10-25T09:03:01.600062Z",
+     "shell.execute_reply": "2022-10-25T09:03:01.598897Z"
+    },
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "P(a,b) = -0.38399999999999995,P(a,c) = 0.4140000000000001,P(b,c) = 0.12599999999999995\n",
+      "Bell's' inequality: 0.6720000000000002 ≤ 1\n",
+      "Bell's inequality is not violated due to noise.\n"
+     ]
+    }
+   ],
    "source": [
     "results, pAB, pAC, pBC = get_results(oqc_tasks)"
    ]
@@ -392,8 +490,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
+   "execution_count": 14,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-25T09:03:01.606872Z",
+     "iopub.status.busy": "2022-10-25T09:03:01.605257Z",
+     "iopub.status.idle": "2022-10-25T09:03:07.275084Z",
+     "shell.execute_reply": "2022-10-25T09:03:07.273959Z"
+    }
+   },
    "outputs": [],
    "source": [
     "ionq_harmony = AwsDevice(\"arn:aws:braket:::device/qpu/ionq/ionQdevice\")\n",
@@ -402,18 +507,54 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 15,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-25T09:03:07.294268Z",
+     "iopub.status.busy": "2022-10-25T09:03:07.285434Z",
+     "iopub.status.idle": "2022-10-25T09:05:03.506451Z",
+     "shell.execute_reply": "2022-10-25T09:05:03.505420Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "P(a,b) = -0.42600000000000005,P(a,c) = 0.44399999999999995,P(b,c) = -0.5379999999999999\n",
+      "Bell's' inequality: 1.408 ≤ 1\n",
+      "Bell's inequality is violated!\n",
+      "Notice that the quantity is not exactly 1.5 as predicted by theory. This is may be due to less number shots or the effects of noise on the QPU.\n"
+     ]
+    }
+   ],
    "source": [
     "results, pAB, pAC, pBC = get_results(ionq_tasks)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 16,
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2022-10-25T09:05:03.511886Z",
+     "iopub.status.busy": "2022-10-25T09:05:03.510231Z",
+     "iopub.status.idle": "2022-10-25T09:05:03.818846Z",
+     "shell.execute_reply": "2022-10-25T09:05:03.817724Z"
+    }
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Task Summary\n",
+      "{'arn:aws:braket:eu-west-2::device/qpu/oqc/Lucy': {'shots': 3000, 'tasks': {'COMPLETED': 3}}, 'arn:aws:braket:::device/qpu/ionq/ionQdevice': {'shots': 3000, 'tasks': {'COMPLETED': 3}}}\n",
+      "Note: Charges shown are estimates based on your Amazon Braket simulator and quantum processing unit (QPU) task usage. Estimated charges shown may differ from your actual charges. Estimated charges do not factor in any discounts or credits, and you may experience additional charges based on your use of other services such as Amazon Elastic Compute Cloud (Amazon EC2).\n",
+      "Estimated cost to run this example: 32.85 USD\n"
+     ]
+    }
+   ],
    "source": [
     "print(\"Task Summary\")\n",
     "print(t.quantum_tasks_statistics())\n",
@@ -447,9 +588,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "conda_braket",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "conda_braket"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -461,7 +602,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.13"
+   "version": "3.7.10"
   },
   "vscode": {
    "interpreter": {