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FermiQ · Aug 25, 2019 · 3e201b1 · 3e201b1
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diff --git a/aer/graph_of_random_circuits.jpg → aer/images/graph_of_random_circuits.jpg b/aer/graph_of_random_circuits.jpg → aer/images/graph_of_random_circuits.jpg
diff --git a/aer/mps.jpg → aer/images/mps.jpg b/aer/mps.jpg → aer/images/mps.jpg
diff --git a/aer/matrix_product_state.ipynb b/aer/matrix_product_state.ipynb
@@ -19,7 +19,7 @@
    "source": [
     "## Introduction\n",
     "`Tensor networks` are used as an alternate representation for a network of qubits. This representation consists of a network of tensors with connections among them. The `matrix product state` (MPS) is the simplest type of tensor network, where we have a one dimensional set of tensors, with connections between every two consecutive tensors. This representation can be used to represent a system of qubits, where each qubit is represented by one tensor. The MPS structure is often depicted graphically, as follows: \n",
-    "![](mps.jpg)"
+    "![](images/mps.jpg)"
    ]
   },
   {
@@ -87,7 +87,7 @@
     "\n",
     "We demonstrate this in the following graph. We ran these two simulation methods on a set of randomly generated circuits, where the percentage of two-qubit gates is 0.1. The depth of the circuits is kept constant at 120 gates. The final computation of the circuit is the expectation value of random Pauli gates on 5 random qubits.\n",
     "\n",
-    "![](graph_of_random_circuits.jpg)"
+    "![](images/graph_of_random_circuits.jpg)"
    ]
   }
  ],