From 3e201b1196e09d446f5c0ea2f6f2f4212cf7dc95 Mon Sep 17 00:00:00 2001 From: Merav Aharoni Date: Sun, 25 Aug 2019 16:36:49 +0300 Subject: [PATCH] created images directory --- aer/{ => images}/graph_of_random_circuits.jpg | Bin aer/{ => images}/mps.jpg | Bin aer/matrix_product_state.ipynb | 4 ++-- 3 files changed, 2 insertions(+), 2 deletions(-) rename aer/{ => images}/graph_of_random_circuits.jpg (100%) rename aer/{ => images}/mps.jpg (100%) diff --git a/aer/graph_of_random_circuits.jpg b/aer/images/graph_of_random_circuits.jpg similarity index 100% rename from aer/graph_of_random_circuits.jpg rename to aer/images/graph_of_random_circuits.jpg diff --git a/aer/mps.jpg b/aer/images/mps.jpg similarity index 100% rename from aer/mps.jpg rename to aer/images/mps.jpg diff --git a/aer/matrix_product_state.ipynb b/aer/matrix_product_state.ipynb index 7876204..a2278a4 100644 --- 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)" ] } ],