splitting up juypter and text (#456)

* Splitting juypter from text

* Small update

* Updating

Author: jaygambetta

index.ipynb

@@ -52,22 +52,28 @@
     "  * [Quantum circuits](qiskit/terra/quantum_circuits.ipynb) - gives a summary of the `QuantumCircuit` object\n",
     "  * [Visualizing a quantum circuit](qiskit/terra/visualizing_a_quantum_circuit.ipynb) - details on drawing your quantum circuits\n",
     "  * [Summary of quantum operations](qiskit/terra/summary_of_quantum_operations.ipynb) - list of quantum operations (gates, reset, measurements) in Qiskit Terra\n",
-    "  * [Jupyter Tools for Monitoring jobs and backends](qiskit/terra/terra_jupyter_tools.ipynb) - Jupyter Tools for Monitoring jobs and backends.\n",
+    "  * [Monitoring jobs and backends](qiskit/terra/backend_monitoring_tools.ipynb) - Tools for Monitoring jobs and backends.\n",
     "  * [Parallel tools](qiskit/terra/terra_parallel_tools.ipynb) - Executing tasks in parallel using `parallel_map` and tracking progress.\n",
     "    \n",
-    "#### 1.3 Qiskit Aer\n",
+    "#### 1.3 Qiskit Interacitve Plotting and Jupyter Tools\n",
+    "\n",
+    "To improve the Qiskit user experience we have made many of the visualizations interactive and developed some very cool new job monitoring tools in Jupyter.\n",
+    "\n",
+    "  * [Jupyter Tools for Monitoring jobs and backends](qiskit/jupyter/jupyter_backend_tools.ipynb) - Jupyter Tools for Monitoring jobs and backends.\n",
+    "\n",
+    "#### 1.4 Qiskit Aer\n",
     "\n",
     "Aer, the ‘air’ element, permeates all Qiskit elements. To really speed up development of quantum computers we need better simulators with the ability to model realistic noise processes that occur during computation on actual devices. Aer provides a high-performance simulator framework for studying quantum computing algorithms and applications in the noisy intermediate scale quantum regime. \n",
     "  * [Aer provider](qiskit/aer/aer_provider.ipynb) - gives a summary of the Qiskit Aer provider containing the Qasm, statevector, and unitary simulator.\n",
     "  * [Device noise simulation](qiskit/aer/device_noise_simulation.ipynb) - shows how to use the Qiskit Aer noise module to automatically generate a basic noise model for simulating hardware backends.\n",
     "  \n",
-    "####  1.4 Qiskit Ignis\n",
+    "####  1.5 Qiskit Ignis\n",
     "Ignis, the ‘fire’ element, is dedicated to fighting noise and errors and to forging a new path. This includes better characterization of errors, improving gates, and computing in the presence of noise. Ignis is meant for those who want to design quantum error correction codes, or who wish to study ways to characterize errors through methods such as tomography, or even to find a better way for using gates by exploring dynamical decoupling and optimal control. While we have already released parts of this element as part of libraries in Terra, an official stand-alone release will come soon. For now we have some tutorials for you to explore.\n",
     "  * [Relaxation and decoherence](qiskit/ignis/relaxation_and_decoherence.ipynb) - how to measure coherence times on the real quantum hardware\n",
     "  * [Quantum state tomography](qiskit/ignis/state_tomography.ipynb) - how to identify a quantum state using state tomography, in which the state is prepared repeatedly and measured in different bases\n",
     "  * [Quantum process tomography](qiskit/ignis/process_tomography.ipynb) - using quantum process tomography to reconstruct the behavior of a quantum process and measure its fidelity, i.e., how closely it matches the ideal version\n",
     "\n",
-    "####  1.5 Qiskit Aqua\n",
+    "####  1.6 Qiskit Aqua\n",
     "Aqua, the ‘water’ element, is the element of life. To make quantum computing live up to its expectations, we need to find real-world applications. Aqua is where algorithms for NISQ computers are built. These algorithms can be used to build applications for quantum computing. Aqua is accessible to domain experts in chemistry, optimization, AI or finance, who want to explore the benefits of using quantum computers as accelerators for specific computational tasks, without needing to worry about how to translate the problem into the language of quantum machines.\n",
     "  * [Chemistry](qiskit/aqua/chemistry/index.ipynb) - using variational quantum eigensolver to experiment with molecular ground-state energy on a quantum computer\n",
     "  * [Optimization](qiskit/aqua/optimization/index.ipynb) - using variational quantum eigensolver to experiment with optimization problems (maxcut and traveling salesman problem) on a quantum computer \n",

qiskit/basics/getting_started_with_qiskit_terra.ipynb

@@ -743,7 +743,7 @@
     {
      "data": {
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-       "BackendStatus(backend_name='ibmqx4', backend_version='1.0.0', operational=True, pending_jobs=0, status_msg='active')"
+       "BackendStatus(backend_name='ibmqx4', backend_version='1.0.0', operational=True, pending_jobs=6, status_msg='active')"
       ]
      },
      "execution_count": 28,
@@ -869,11 +869,11 @@
      "name": "stdout",
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      "text": [
-      "5c1a2b4f39c21300575b61b0 JobStatus.DONE\n",
-      "5c1a2b2439c21300575b61ae JobStatus.DONE\n",
-      "5c19dd832065d5005c4bd8fb JobStatus.DONE\n",
-      "5c19dd79ed804c0056195e67 JobStatus.DONE\n",
-      "5c19dd784051c50054922e49 JobStatus.DONE\n"
+      "5c1a2ff1a2eb3c005253e861 JobStatus.DONE\n",
+      "5c1a2ff125765800555ba251 JobStatus.DONE\n",
+      "5c1a2e4639c21300575b61b7 JobStatus.DONE\n",
+      "5c1a2e4428983e0059e42864 JobStatus.DONE\n",
+      "5c1a2e4228983e0059e42862 JobStatus.DONE\n"
      ]
     }
    ],
@@ -989,7 +989,7 @@
     {
      "data": {
       "text/plain": [
-       "'5c19dd784051c50054922e49'"
+       "'5c1a2e4228983e0059e42862'"
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      },
      "execution_count": 38,
@@ -1017,7 +1017,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'00': 440, '10': 49, '01': 75, '11': 460}\n"
+      "{'01': 89, '10': 87, '11': 454, '00': 394}\n"
      ]
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    ],
@@ -1042,7 +1042,7 @@
     {
      "data": {
       "text/plain": [
-       "'2018-12-19T05:56:08.934Z'"
+       "'2018-12-19T11:40:50.890Z'"
       ]
      },
      "execution_count": 40,
@@ -1084,7 +1084,7 @@
     {
      "data": {
       "text/plain": [
-       "<qiskit.circuit.instructionset.InstructionSet at 0xa167e94a8>"
+       "<qiskit.circuit.instructionset.InstructionSet at 0xa16872080>"
       ]
      },
      "execution_count": 42,
@@ -1233,7 +1233,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "490dc8e9ddc744529921a7cc6a30c712",
+       "model_id": "88b8132125e746e4a9e8b87cdb03d314",
        "version_major": 2,
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@@ -1260,7 +1260,7 @@
      "name": "stdout",
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      "text": [
-      "{'111': 46, '100': 58, '011': 99, '101': 504, '110': 18, '000': 29, '010': 35, '001': 235}\n"
+      "{'111': 71, '011': 75, '000': 35, '101': 556, '010': 26, '110': 28, '001': 185, '100': 48}\n"
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