Update links to Aer docs now that its on github pages (#147)

docs/tutorials/01_algorithms_introduction.ipynb

@@ -101,7 +101,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This estimator uses an exact, statevector simulation to evaluate the expectation values. We can also use a shot-based and noisy simulators or real backends instead. For more information of the simulators you can check out [Qiskit Aer](https://qiskit.org/ecosystem/aer/apidocs/aer_primitives.html) and for the actual hardware [Qiskit IBM Runtime](https://qiskit.org/documentation/partners/qiskit_ibm_runtime/).\n",
+    "This estimator uses an exact, statevector simulation to evaluate the expectation values. We can also use a shot-based and noisy simulators or real backends instead. For more information of the simulators you can check out [Qiskit Aer](https://qiskit.github.io/qiskit-aer/apidocs/aer_primitives.html) and for the actual hardware [Qiskit IBM Runtime](https://qiskit.org/documentation/partners/qiskit_ibm_runtime/).\n",
     "\n",
     "With all the ingredients ready, we can now instantiate the VQE:"
    ]
@@ -211,7 +211,7 @@
     "\n",
     "To close off let's also change the estimator primitive inside the a VQE. Maybe you're satisfied with the simulation results and now want to use a shot-based simulator, or run on hardware!\n",
     "\n",
-    "In this example we're changing to a shot-based estimator, still using Qiskit's reference primitive. However, you could replace the primitive by e.g. Qiskit Aer's estimator ([qiskit_aer.primitives.Estimator](https://qiskit.org/ecosystem/aer/stubs/qiskit_aer.primitives.Estimator.html#qiskit_aer.primitives.Estimator)) or even a real backend ([qiskit_ibm_runtime.Estimator](https://qiskit.org/documentation/partners/qiskit_ibm_runtime/stubs/qiskit_ibm_runtime.Estimator.html#qiskit_ibm_runtime.Estimator)).\n",
+    "In this example we're changing to a shot-based estimator, still using Qiskit's reference primitive. However, you could replace the primitive by e.g. Qiskit Aer's estimator ([qiskit_aer.primitives.Estimator](https://qiskit.github.io/qiskit-aer/stubs/qiskit_aer.primitives.Estimator.html#qiskit_aer.primitives.Estimator)) or even a real backend ([qiskit_ibm_runtime.Estimator](https://qiskit.org/documentation/partners/qiskit_ibm_runtime/stubs/qiskit_ibm_runtime.Estimator.html#qiskit_ibm_runtime.Estimator)).\n",
     "\n",
     "For noisy loss functions, the SPSA optimizer typically performs well, so we also update the optimizer. See also the [noisy VQE tutorial](03_vqe_simulation_with_noise.ipynb) for more details on shot-based and noisy simulations."
    ]

docs/tutorials/03_vqe_simulation_with_noise.ipynb

@@ -6,9 +6,9 @@
    "source": [
     "# VQE with Qiskit Aer Primitives\n",
     "\n",
-    "This notebook demonstrates how to leverage the [Qiskit Aer Primitives](https://qiskit.org/ecosystem/aer/apidocs/aer_primitives.html) to run both noiseless and noisy simulations locally. Qiskit Aer not only allows you to define your own custom noise model, but also to easily create a noise model based on the properties of a real quantum device. This notebook will show an example of the latter, to illustrate the general workflow of running algorithms with local noisy simulators.\n",
+    "This notebook demonstrates how to leverage the [Qiskit Aer Primitives](https://qiskit.github.io/qiskit-aer/apidocs/aer_primitives.html) to run both noiseless and noisy simulations locally. Qiskit Aer not only allows you to define your own custom noise model, but also to easily create a noise model based on the properties of a real quantum device. This notebook will show an example of the latter, to illustrate the general workflow of running algorithms with local noisy simulators.\n",
     "\n",
-    "For further information on the Qiskit Aer noise model, you can consult the [Qiskit Aer documentation](https://qiskit.org/ecosystem/aer/apidocs/aer_noise.html), as well the tutorial for [building noise models](https://qiskit.org/ecosystem/aer/tutorials/3_building_noise_models.html)."
+    "For further information on the Qiskit Aer noise model, you can consult the [Qiskit Aer documentation](https://qiskit.github.io/qiskit-aer/apidocs/aer_noise.html), as well the tutorial for [building noise models](https://qiskit.github.io/qiskit-aer/tutorials/3_building_noise_models.html)."
    ]
   },
   {
@@ -463,4 +463,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}