From ccf2849ece66f8e8a2beb3a1ebc9c12de11fc781 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Elena=20Pe=C3=B1a=20Tapia?= <57907331+ElePT@users.noreply.github.com> Date: Wed, 6 Mar 2024 22:47:38 +0100 Subject: [PATCH] Minor demo fixes (#24) --- demos/qiskit_patterns/2_qiskit_patterns.ipynb | 15 +++++++-------- demos/qiskit_patterns/imgs/eagle-heron-0.png | Bin 0 -> 74763 bytes demos/qiskit_patterns/imgs/eagle-heron.png | Bin 74763 -> 146414 bytes 3 files changed, 7 insertions(+), 8 deletions(-) create mode 100644 demos/qiskit_patterns/imgs/eagle-heron-0.png diff --git a/demos/qiskit_patterns/2_qiskit_patterns.ipynb b/demos/qiskit_patterns/2_qiskit_patterns.ipynb index b4a1085..09c36a1 100644 --- a/demos/qiskit_patterns/2_qiskit_patterns.ipynb +++ b/demos/qiskit_patterns/2_qiskit_patterns.ipynb @@ -7,8 +7,7 @@ "source": [ "# Scaling Quantum Optimization with Qiskit Patterns\n", "\n", - "In this how-to we will learn about Qiskit Patterns and quantum approximate optimization. Qiskit Patterns define a four-step process for running algorithms on a quantum computer:\n", - "\n", + "In this how-to we will learn about Qiskit Patterns and quantum approximate optimization. A Qiskit Pattern is an intuitive, repeatable set of steps for implementing a quantum computing workflow: \n", "\n", "\n", "\n", @@ -48,7 +47,7 @@ "id": "74b92ba5-c48a-405c-9c4b-04e985a7afbc", "metadata": {}, "source": [ - "Max-Cut is a hard to solve optimization problem with applications in clustering, network science, and statistical physics. The goal of this problem is to partition the nodes of a graph into to sets such that the number of edges traversed by this cut is maximum.\n", + "Max-Cut is a hard to solve optimization problem with applications in clustering, network science, and statistical physics. The goal of this problem is to partition the nodes of a graph into two sets such that the number of edges traversed by this cut is maximum.\n", "\n", "" ] @@ -171,7 +170,6 @@ "H_C=\\sum_{ij}Q_{ij}Z_iZ_j + \\sum_i b_iZ_i.\n", "\\end{align}\n", "\n", - "
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