Fix links (#812)

* Fix all links to community tutorials

* Fix all links to iqx tutorials

Author: mrossinek

README.md

@@ -1,6 +1,6 @@
 # Qiskit IQX Tutorials
 
-[![License](https://img.shields.io/github/license/Qiskit/qiskit-tutorials.svg?style=popout-square)](https://opensource.org/licenses/Apache-2.0)[![](https://img.shields.io/github/release/Qiskit/qiskit-tutorials.svg?style=popout-square)](https://github.com/Qiskit/qiskit-tutorials/releases)
+[![License](https://img.shields.io/github/license/Qiskit/qiskit-iqx-tutorials.svg?style=popout-square)](https://opensource.org/licenses/Apache-2.0)[![](https://img.shields.io/github/release/Qiskit/qiskit-iqx-tutorials.svg?style=popout-square)](https://github.com/Qiskit/qiskit-iqx-tutorials/releases)
 
 Welcome to the [Qiskit](https://www.qiskit.org/) IQX Tutorials!
 
@@ -11,7 +11,7 @@ processors, online simulators, and local simulators). The online quantum
 processors are the [IBM Q](https://quantum-computing.ibm.com) devices.
 
 For our community-contributed tutorials, please check out the
-[qiskit-community-tutorials](https://github.com/Qiskit/qiskit-tutorials-community)
+[qiskit-community-tutorials](https://github.com/Qiskit/qiskit-community-tutorials)
 repository.
 
 ## Installation
@@ -48,7 +48,7 @@ If you'd like to contribute to Qiskit IQX Tutorials, please take a look at our
 Qiskit's [code of conduct](.github/CODE_OF_CONDUCT.md). By participating, you
 are expect to uphold to this code.
 
-We use [GitHub issues](https://github.com/Qiskit/qiskit-tutorials/issues) for
+We use [GitHub issues](https://github.com/Qiskit/qiskit-iqx-tutorials/issues) for
 tracking requests and bugs. Please use our [Slack](https://qiskit.slack.com)
 for discussion and simple questions. To join our Slack community, use the
 [link](https://join.slack.com/t/qiskit/shared_invite/enQtNDc2NjUzMjE4Mzc0LTMwZmE0YTM4ZThiNGJmODkzN2Y2NTNlMDIwYWNjYzA2ZmM1YTRlZGQ3OGM0NjcwMjZkZGE0MTA4MGQ1ZTVmYzk).
@@ -59,7 +59,7 @@ Exchange](https://quantumcomputing.stackexchange.com/questions/tagged/qiskit).
 ## Authors and Citation
 
 Qiskit IQX Tutorials is the work of [many
-people](https://github.com/Qiskit/qiskit-tutorials/graphs/contributors) who
+people](https://github.com/Qiskit/qiskit-iqx-tutorials/graphs/contributors) who
 contribute to the project at different levels. If you use Qiskit, please cite
 as per the included [BibTeX
 file](https://github.com/Qiskit/qiskit/blob/master/Qiskit.bib).

qiskit/advanced/aer/1_aer_provider.ipynb

@@ -13,7 +13,7 @@
    "source": [
     "# Qiskit Aer: Simulators\n",
     "\n",
-    "The latest version of this notebook is available on https://github.com/Qiskit/qiskit-tutorials."
+    "The latest version of this notebook is available on https://github.com/Qiskit/qiskit-iqx-tutorials."
    ]
   },
   {

qiskit/advanced/aer/2_device_noise_simulation.ipynb

@@ -13,7 +13,7 @@
    "source": [
     "# Qiskit Aer: Device noise model simulations\n",
     "\n",
-    "The latest version of this notebook is available on https://github.com/Qiskit/qiskit-tutorials."
+    "The latest version of this notebook is available on https://github.com/Qiskit/qiskit-iqx-tutorials."
    ]
   },
   {

qiskit/advanced/aer/5_noise_transformation.ipynb

@@ -13,7 +13,7 @@
    "source": [
     "# Qiskit Aer: Noise Transformation\n",
     "\n",
-    "The latest version of this notebook is available on https://github.com/Qiskit/qiskit-tutorials."
+    "The latest version of this notebook is available on https://github.com/Qiskit/qiskit-iqx-tutorials."
    ]
   },
   {

qiskit/advanced/aqua/amplitude_estimation.ipynb

@@ -13,7 +13,7 @@
    "source": [
     "# _*Qiskit Aqua: Amplitude Estimation*_ \n",
     "\n",
-    "The latest version of this notebook is available on https://github.com/Qiskit/qiskit-tutorials.\n",
+    "The latest version of this notebook is available on https://github.com/Qiskit/qiskit-iqx-tutorials.\n",
     "\n",
     "***\n",
     "### Contributors\n",

qiskit/advanced/aqua/artificial_intelligence/index.ipynb

@@ -19,7 +19,7 @@
     "\n",
     "* [Quantum SVM for Classification](qsvm_classification.ipynb)\n",
     "* [qGANs for Learning & Loading Random Distributions](qgans_for_loading_random_distributions.ipynb)\n",
-    "* More examples can be found in [community/artificial_intelligence](https://github.com/Qiskit/qiskit-tutorials-community/tree/master/artificial_intelligence)"
+    "* More examples can be found in [community/artificial_intelligence](https://github.com/Qiskit/qiskit-community-tutorials/tree/master/artificial_intelligence)"
    ]
   },
   {

qiskit/advanced/aqua/artificial_intelligence/qgans_for_loading_random_distributions.ipynb

@@ -13,7 +13,7 @@
    "source": [
     "# _*Qiskit Aqua: qGANs for Loading Random Distributions*_ \n",
     "\n",
-    "The latest version of this notebook is available on https://github.com/Qiskit/qiskit-tutorials.\n",
+    "The latest version of this notebook is available on https://github.com/Qiskit/qiskit-iqx-tutorials.\n",
     "\n",
     "***\n",
     "### Contributors\n",

qiskit/advanced/aqua/chemistry/declarative_approach.ipynb

@@ -13,7 +13,7 @@
    "source": [
     "# _*Qiskit Chemistry, Declarative Approach*_ \n",
     "\n",
-    "The latest version of this notebook is available at https://github.com/Qiskit/qiskit-tutorials.\n",
+    "The latest version of this notebook is available at https://github.com/Qiskit/qiskit-iqx-tutorials.\n",
     "\n",
     "***\n",
     "### Contributors\n",
@@ -30,7 +30,7 @@
     "\n",
     "This notebook demonstrates how to use Qiskit Chemistry to compute the ground state energy of molecular Hydrogen (H$_2$) using the Variational Quantum Eigensolver (VQE) algorithm and the Unitary Coupled Cluster Singles and Doubles (UCCSD) variational form.  This notebook uses the so called *declarative approach*: a Python dictionary automatically generated via the Qiskit Chemistry GUI wizard summarizes the entire experiment declaratively.  That dictionary is simply then passed as a paramter to the `run` method of the `QiskitChemistry` solver to get the result of the experiment, also in the form of a Python dictionary.\n",
     "\n",
-    "Users who are more interested in learning the Qiskit Aqua and Qiskit Chemistry APIs and/or in contributing new algorithmic components can look at the same experiment executed [programmatically](https://github.com/Qiskit/qiskit-tutorials/blob/master/qiskit/chemistry/programmatic_approach.ipynb).\n",
+    "Users who are more interested in learning the Qiskit Aqua and Qiskit Chemistry APIs and/or in contributing new algorithmic components can look at the same experiment executed [programmatically](https://github.com/Qiskit/qiskit-iqx-tutorials/blob/master/qiskit/chemistry/programmatic_approach.ipynb).\n",
     "\n",
     "This notebook has been written to use the HDF5 chemistry driver. This driver uses molecular data that has been serialized from a prior computation.  This allows this notebook to be executed with no additional driver installation requirements. See the Qiskit Chemistry driver documentation for more detail.\n",
     "\n",

qiskit/advanced/aqua/chemistry/dissociation_profile_of_molecule.ipynb

@@ -155,7 +155,7 @@
     "\n",
     "In this first part of the notebook, we show the optimization of the H$_2$ Hamiltonian in the `STO-3G` basis at the bond length of 0.735 Angstrom. After mapping it to a four-qubit system with a parity transformation, two spin-parity symmetries are modded out, leading to a two-qubit Hamiltonian. The energy of the mapped Hamiltonian obtained is then minimized using the variational ansatz described in the introduction, and a stochastic perturbation simultaneous approximation (SPSA) gradient descent method. We stored the precomputed one- and two-body integrals and other molecular information in the `hdf5` file.\n",
     "\n",
-    "Here we use the [*declarative approach*](https://github.com/Qiskit/qiskit-tutorials/blob/master/qiskit/chemistry/declarative_approach.ipynb) to run our experiment, but the same is doable in a [fully programmatic way](https://github.com/Qiskit/qiskit-tutorials/blob/master/qiskit/chemistry/programmatic_approach.ipynb), especially for those users who are interested in learning the Qiskit Aqua and Qiskit Chemistry APIs as well as contributing new algorithmic components."
+    "Here we use the [*declarative approach*](https://github.com/Qiskit/qiskit-iqx-tutorials/blob/master/qiskit/chemistry/declarative_approach.ipynb) to run our experiment, but the same is doable in a [fully programmatic way](https://github.com/Qiskit/qiskit-iqx-tutorials/blob/master/qiskit/chemistry/programmatic_approach.ipynb), especially for those users who are interested in learning the Qiskit Aqua and Qiskit Chemistry APIs as well as contributing new algorithmic components."
    ]
   },
   {

qiskit/advanced/aqua/chemistry/index.ipynb

@@ -20,7 +20,7 @@
     "* [Howto: declarative approach](declarative_approach.ipynb)\n",
     "* [Howto: programmatic approach](programmatic_approach.ipynb)\n",
     "* [Quantum Chemistry with VQE](dissociation_profile_of_molecule.ipynb) dissociation curve of H<sub>2</sub> and LiH\n",
-    "* More examples can be found in [community/chemistry](https://github.com/Qiskit/qiskit-tutorials-community/tree/master/chemistry)"
+    "* More examples can be found in [community/chemistry](https://github.com/Qiskit/qiskit-community-tutorials/tree/master/chemistry)"
    ]
   },
   {