Merge pull request #1 from manoelmarques/migration

 Fix Aqua Community links

Author: Abraham Asfaw

aqua/bernstein_vazirani.ipynb

@@ -31,7 +31,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The Bernstein-Vazirani algorithm is explained in more detail in the corresponding notebook located in the directory `community/algorithms`. We can experiment with it in Aqua by feeding it oracles created using truth tables. For example, we can create a `TruthTableOracle` instance as follows."
+    "The Bernstein-Vazirani algorithm is explained in more detail in the corresponding notebook located in the directory `algorithms`. We can experiment with it in Aqua by feeding it oracles created using truth tables. For example, we can create a `TruthTableOracle` instance as follows."
    ]
   },
   {

aqua/deutsch_jozsa.ipynb

@@ -31,7 +31,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The [Deutsch-Jozsa algorithm](https://en.wikipedia.org/wiki/Deutsch-Jozsa_algorithm) is explained in more detail in the corresponding notebook located in the directory `community/algorithms`. We can experiment with it in Aqua by feeding it oracles created using truth tables. For example, we can create a `TruthTableOracle` instance as follows."
+    "The [Deutsch-Jozsa algorithm](https://en.wikipedia.org/wiki/Deutsch-Jozsa_algorithm) is explained in more detail in the corresponding notebook located in the directory `algorithms`. We can experiment with it in Aqua by feeding it oracles created using truth tables. For example, we can create a `TruthTableOracle` instance as follows."
    ]
   },
   {

aqua/index.ipynb

@@ -15,33 +15,31 @@
     "## Contents\n",
     "Qiskit Aqua has the following tutorials, samples and input files for the cross-domain library and domain-specific application and stacks built upon it. Aqua currently provides AI, Chemistry, Finance and Optimization domain applications.\n",
     "\n",
-    "### 1. [Qiskit Aqua](aqua/)<a id='aqua'></a>\n",
+    "### 1. [Qiskit Aqua](./)<a id='aqua'></a>\n",
     "\n",
     "This folder contains some Jupyter Notebook examples showing how to run algorithms in Aqua\n",
     "along with some Python code files too.\n",
     "\n",
-    "The folder [input_files](general/input_files) contains a number of example JSON input files that can be loaded \n",
-    "and run by the Aqua\n",
-    "[GUI](https://github.com/Qiskit/aqua/blob/master/README.md#gui) or\n",
-    "[command line](https://github.com/Qiskit/aqua/blob/master/README.md#command-line) tool.\n",
+    "The folder [input_files](./input_files) contains a number of example JSON input files that can be loaded \n",
+    "and run by the Qiskit Aqua\n",
+    "[GUI or command line](https://github.com/Qiskit/qiskit-aqua-interfaces) tool.\n",
     "\n",
     "The following notebooks are noted:\n",
     "\n",
-    "* [Using Aqua algorithms, a how to guide](general/vqe.ipynb)\n",
-    "* [Using Aqua's quantum evolution functionality](general/evolution.ipynb)\n",
-    "* [The EOH (Evolution of Hamiltonian) Algorithm](general/eoh.ipynb)\n",
-    "* [Variaitonal Eigensolver + Quantum Phase Estimation](general/vqe2iqpe.ipynb)\n",
+    "* [Using Aqua algorithms, a how to guide](algorithm_introduction_with_vqe.ipynb)\n",
+    "* [Using Aqua's quantum evolution functionality](evolution.ipynb)\n",
+    "* [The EOH (Evolution of Hamiltonian) Algorithm](eoh.ipynb)\n",
+    "* [Variaitonal Eigensolver + Quantum Phase Estimation](vqe2iqpe.ipynb)\n",
     "\n",
     "The repository here may be viewed for the\n",
-    "[full listing](https://github.com/Qiskit/qiskit-tutorial/tree/master/community/aqua/general).\n",
+    "[full listing](./).\n",
     "\n",
     "### 2. [Qiskit Chemistry](../chemistry/)<a id='chemistry'></a>\n",
     "\n",
     "This folder contains some Jupyter Notebook examples showing how to run algorithms in Qiskit Chemistry along with some Python code files too. There are also some .hdf5 files containing saved molecular data that can be used in experiments, see the main Qiskit Chemistry documentation for more information on the HDF5 driver and .hdf5 files. \n",
     "\n",
-    "The folder [input_files](../chemistry/input_files) contains a number of example input files that can be loaded and run by the Qiskit Chemistry\n",
-    "[GUI](https://github.com/Qiskit/qiskit-chemistry/blob/master/README.md#gui) or \n",
-    "[command line](https://github.com/Qiskit/qiskit-chemistry/blob/master/README.md#command-line) tool.\n",
+    "The folder [input_files](../chemistry/input_files) contains a number of example input files that can be loaded and run by the Qiskit Aqua\n",
+    "[GUI or command line](https://github.com/Qiskit/qiskit-aqua-interfaces) tool.\n",
     "\n",
     "The following notebooks are noted:\n",
     "\n",
@@ -54,17 +52,17 @@
     "* [H2 ground state energy with VQE and SPSA](../chemistry/h2_vqe_spsa.ipynb) Near-term device experiment\n",
     "\n",
     "There are many more notebooks. The repository here may be viewed for the\n",
-    "[full listing](https://github.com/Qiskit/qiskit-tutorial/tree/master/community/chemistry).\n",
+    "[full listing](../chemistry).\n",
     "\n",
     "### 3. [Qiskit Artificial Intelligence](../artificial_intelligence/)<a id='artificial_intelligence'></a>\n",
     "\n",
     "Qiskit Artificial Intelligence is a set of tools, algorithms and software for use with quantum computers to carry out research and investigate how to take advantage of quantum computing power to solve artificial intelligence problems. \n",
     "\n",
-    "* [Quantum SVM algorithm: multiclass classifier extension](artificial_intelligence/qsvm_multiclass.ipynb)\n",
-    "* [Variational Quantum Classifier (vqc)](artificial_intelligence/vqc.ipynb)\n",
+    "* [Quantum SVM algorithm: multiclass classifier extension](../artificial_intelligence/qsvm_multiclass.ipynb)\n",
+    "* [Variational Quantum Classifier (vqc)](../artificial_intelligence/vqc.ipynb)\n",
     "\n",
     "The repository here may be viewed for the\n",
-    "[full listing](https://github.com/Qiskit/qiskit-tutorial/tree/master/community/artificial_intelligence).\n",
+    "[full listing](../artificial_intelligence).\n",
     "\n",
     "### 4. [Qiskit Optimization](../optimization/)<a id='optimization'></a>\n",
     "\n",
@@ -75,17 +73,17 @@
     "* [Using Aqua for stable-set problems](../optimization/stable_set.ipynb)\n",
     "\n",
     "The repository here may be viewed for the\n",
-    "[full listing](https://github.com/Qiskit/qiskit-tutorial/tree/master/community/optimization).\n",
+    "[full listing](../optimization).\n",
     "\n",
     "### 5. [Qiskit Finance](../finance/)<a id='finance'></a>\n",
     "\n",
     "Qiskit Finance is a set of tools, algorithms and software for use with quantum computers to carry out research and investigate how to take advantage of quantum computing power to solve problems in the financial domain.\n",
-    "Please also see the [Qiskit Finance Tutorials](../../qiskit/finance/index.ipynb) for more examples.\n",
+    "Please also see the [Qiskit Finance Tutorials](https://github.com/Qiskit/qiskit-tutorials/tree/master/qiskit/finance/index.ipynb) for more examples.\n",
     "\n",
     "Quantum computing for option pricing:\n",
-    "* <a href=\"simulation/long_butterfly.ipynb\">Long Butterfly</a> (univariate, payoff with 4 segments)\n",
-    "* <a href=\"simulation/short_butterfly.ipynb\">Short Butterfly</a> (univariate, payoff with 4 segments)\n",
-    "* <a href=\"simulation/iron_condor.ipynb\">Iron Condor</a> (univariate, payoff with 5 segments)\n",
+    "* <a href=\"../finance/simulation/long_butterfly.ipynb\">Long Butterfly</a> (univariate, payoff with 4 segments)\n",
+    "* <a href=\"../finance/simulation/short_butterfly.ipynb\">Short Butterfly</a> (univariate, payoff with 4 segments)\n",
+    "* <a href=\"../finance/simulation/iron_condor.ipynb\">Iron Condor</a> (univariate, payoff with 5 segments)\n",
     "\n",
     "The repository here may be viewed for the\n",
     "[full listing](../finance).\n",

aqua/shors.ipynb

@@ -29,7 +29,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The [Shor's Factoring Algorithm](https://en.wikipedia.org/wiki/Shor's_algorithm) is explained in more detail in the corresponding notebook located in the directory `community/algorithms`. With Aqua, we can create a `Shor` instance by simply providing the target integer to be factored and run it, as follows."
+    "The [Shor's Factoring Algorithm](https://en.wikipedia.org/wiki/Shor's_algorithm) is explained in more detail in the corresponding notebook located in the directory `algorithms`. With Aqua, we can create a `Shor` instance by simply providing the target integer to be factored and run it, as follows."
    ]
   },
   {

aqua/simon.ipynb

@@ -31,7 +31,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The [Simon's algorithm](https://en.wikipedia.org/wiki/Simon's_problem) is explained in more detail in the corresponding notebook located in the directory `community/algorithms`. We can experiment with it in Aqua by feeding it oracles created using truth tables. For example, we can create a `TruthTableOracle` instance as follows."
+    "The [Simon's algorithm](https://en.wikipedia.org/wiki/Simon's_problem) is explained in more detail in the corresponding notebook located in the directory `algorithms`. We can experiment with it in Aqua by feeding it oracles created using truth tables. For example, we can create a `TruthTableOracle` instance as follows."
    ]
   },
   {