fixed links to new tutorials repo

Author: kottmanj

Molecular-Meta-VQE.ipynb

@@ -16,7 +16,7 @@
     "The molecular coordinates, or the basis-set can however be replaced (as long as there is just a single meta-parameter $R$ in the coordinates), but note that the training will take substantially longer, depending on the system/basis you chose, and a jupyter notebook is probably not the best environment anymore.\n",
     "\n",
     "In order to run the notebook you need to have `tequila` installed.  \n",
-    "Just follow the intructions from the [AAG github repository](https://github.com/aspuru-guzik-group/tequila) and let us know if you experience any troubles. Feel also free to check out the `tequila` [tutorials](https://github.com/aspuru-guzik-group/tequila/tree/master/tutorials). For this notebook we recommend [basic usage](https://github.com/aspuru-guzik-group/tequila/blob/master/tutorials/BasicUsage.ipynb) and [basic chemistry](https://github.com/aspuru-guzik-group/tequila/blob/master/tutorials/Chemistry.ipynb).\n",
+    "Just follow the intructions from the [AAG github repository](https://github.com/aspuru-guzik-group/tequila) and let us know if you experience any troubles. Feel also free to check out the `tequila` [tutorials](https://github.com/aspuru-guzik-group/tequila/tree/master/tutorials). For this notebook we recommend [basic usage](https://github.com/aspuru-guzik-group/tequila-tutorials/blob/master/BasicUsage.ipynb) and [basic chemistry](https://github.com/aspuru-guzik-group/tequila-tutorials/blob/master/Chemistry.ipynb).\n",
     "\n",
     "We start by defining our non-linear encoder. As in the paper we will use a set of floating Gaussians to approximate our unknown non-linear function. Each parameter of the VQE is then encoded, depending on the meta variable $R$ (in this example the bond distance of H$_2$; in the paper the intermolecular distance of H$_4$), as\n",
     "$$\n",