Fix links to chemistry notebooks on GitHub (#652)

Author: soudy

qiskit/chemistry/declarative_approach.ipynb

@@ -35,7 +35,7 @@
     "\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/aqua/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-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/chemistry/dissociation_profile_of_molecule.ipynb

@@ -154,7 +154,7 @@
     "\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/aqua/chemistry/declarative_approach.ipynb) to run our experiement, but the same is doable in a [fully programmatic way](https://github.com/Qiskit/qiskit-tutorials/blob/master/qiskit/aqua/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-tutorials/blob/master/qiskit/chemistry/declarative_approach.ipynb) to run our experiement, 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."
    ]
   },
   {