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Merge pull request Qiskit/qiskit-tutorials#1111 from divshacker/master
Fixed Broken Links in "01_algorithms_introduction" tutorial.
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‎docs/tutorials/01_algorithms_introduction.ipynb

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{
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"data": {
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"text/html": [
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"<pre style=\"word-wrap: normal;white-space: pre;background: #fff0;line-height: 1.1;font-family: &quot;Courier New&quot;,Courier,monospace\"> ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐\n",
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"q_0: ┤ RY(θ[0]) ├─■─┤ RY(θ[2]) ├─■─┤ RY(θ[4]) ├─■─┤ RY(θ[6]) ├\n",
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" ├──────────┤ │ ├──────────┤ │ ├──────────┤ │ ├──────────┤\n",
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"q_1: ┤ RY(θ[1]) ├─■─┤ RY(θ[3]) ├─■─┤ RY(θ[5]) ├─■─┤ RY(θ[7]) ├\n",
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" └──────────┘ └──────────┘ └──────────┘ └──────────┘</pre>"
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],
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"image/png": 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\n",
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"text/plain": [
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" ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐\n",
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"q_0: ┤ RY(θ[0]) ├─■─┤ RY(θ[2]) ├─■─┤ RY(θ[4]) ├─■─┤ RY(θ[6]) ├\n",
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" ├──────────┤ │ ├──────────┤ │ ├──────────┤ │ ├──────────┤\n",
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"q_1: ┤ RY(θ[1]) ├─■─┤ RY(θ[3]) ├─■─┤ RY(θ[5]) ├─■─┤ RY(θ[7]) ├\n",
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" └──────────┘ └──────────┘ └──────────┘ └──────────┘"
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"<Figure size 507.852x144.48 with 1 Axes>"
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]
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},
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"execution_count": 2,
@@ -128,7 +118,7 @@
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"source": [
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"Note: if you provide the backend directly then internally a QuantumInstance will be created from it, with default settings, so at all times the algorithms are working through a QuantumInstance.\n",
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"\n",
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"So now we would be able to call the [run()](https://qiskit.org/documentation/stubs/qiskit.aqua.algorithms.VQE.run.html) method, which is common to all algorithms and returns a result specific for the algorithm. In this case since VQE is a MinimumEigensolver we could use the [compute_mininum_eigenvalue()](https://qiskit.org/documentation/stubs/qiskit.aqua.algorithms.VQE.compute_minimum_eigenvalue.html) method. The latter is the interface of choice for the application modules, such as Chemistry and Optimization, in order that they can work interchangeably with any algorithm within the specific category."
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"So now we would be able to call the [run()](https://qiskit.org/documentation/stubs/qiskit.aqua.algorithms.VQE.html#qiskit.aqua.algorithms.VQE.run) method, which is common to all algorithms and returns a result specific for the algorithm. In this case since VQE is a MinimumEigensolver we could use the [compute_mininum_eigenvalue()](https://qiskit.org/documentation/stubs/qiskit.aqua.algorithms.VQE.html#qiskit.aqua.algorithms.VQE.compute_minimum_eigenvalue) method. The latter is the interface of choice for the application modules, such as Chemistry and Optimization, in order that they can work interchangeably with any algorithm within the specific category."
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]
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},
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{
@@ -184,16 +174,16 @@
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" 'optimal_parameters': { Parameter(θ[0]): 4.296520551468743,\n",
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" Parameter(θ[1]): 4.426962086704216,\n",
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" Parameter(θ[2]): 0.5470753710293924,\n",
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" Parameter(θ[3]): 6.09294789784282,\n",
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" Parameter(θ[4]): -2.598325857134344,\n",
189-
" Parameter(θ[5]): 1.5683261371389359,\n",
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" Parameter(θ[7]): 0.3602072316165878,\n",
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" Parameter(θ[6]): -4.717618235040379,\n",
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" Parameter(θ[7]): 0.3602072316165878},\n",
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" Parameter(θ[5]): 1.5683261371389359,\n",
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" Parameter(θ[3]): 6.09294789784282,\n",
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" Parameter(θ[4]): -2.598325857134344},\n",
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" 'optimal_point': array([ 4.29652055, 4.42696209, 0.54707537, 6.0929479 , -2.59832586,\n",
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" 1.56832614, -4.71761824, 0.36020723]),\n",
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" 'optimal_value': -1.857275017559769,\n",
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" 'optimizer_evals': 72,\n",
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" 'optimizer_time': 2.040440559387207}\n"
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" 'optimizer_time': 1.310880184173584}\n"
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]
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}
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],
@@ -242,19 +232,19 @@
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" 'eigenstate': array([-9.55448660e-05+2.12037105e-17j, 9.93766273e-01+2.25293943e-16j,\n",
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" -1.11483565e-01+1.52657541e-16j, -1.77521351e-05+3.71607315e-17j]),\n",
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" 'eigenvalue': (-1.857275017559769+0j),\n",
245-
" 'optimal_parameters': { Parameter(θ[2]): 0.5470753710293924,\n",
246-
" Parameter(θ[7]): 0.3602072316165878,\n",
247-
" Parameter(θ[6]): -4.717618235040379,\n",
248-
" Parameter(θ[3]): 6.09294789784282,\n",
235+
" 'optimal_parameters': { Parameter(θ[4]): -2.598325857134344,\n",
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" Parameter(θ[5]): 1.5683261371389359,\n",
250-
" Parameter(θ[0]): 4.296520551468743,\n",
237+
" Parameter(θ[6]): -4.717618235040379,\n",
238+
" Parameter(θ[7]): 0.3602072316165878,\n",
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" Parameter(θ[1]): 4.426962086704216,\n",
252-
" Parameter(θ[4]): -2.598325857134344},\n",
240+
" Parameter(θ[0]): 4.296520551468743,\n",
241+
" Parameter(θ[2]): 0.5470753710293924,\n",
242+
" Parameter(θ[3]): 6.09294789784282},\n",
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" 'optimal_point': array([ 4.29652055, 4.42696209, 0.54707537, 6.0929479 , -2.59832586,\n",
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" 1.56832614, -4.71761824, 0.36020723]),\n",
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" 'optimal_value': -1.857275017559769,\n",
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" 'optimizer_evals': 72,\n",
257-
" 'optimizer_time': 1.5368030071258545}\n"
247+
" 'optimizer_time': 2.8010470867156982}\n"
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