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aqua/algorithm_introduction_with_vqe.ipynb

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"source": [
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"### Concluding\n",
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"\n",
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"This completes an introduction to programming and using Aqua algorithms. There are plenty of other tutorials showing Aqua being used to solve other problems, including AI, Finance, Optimization and Chemistry. We encourage you to explore these further and see that various capabilities and techniques employed."
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"This completes an introduction to programming and using Aqua algorithms. There are plenty of other tutorials showing Aqua being used to solve other problems, including Machine Learning, Finance, Optimization and Chemistry. We encourage you to explore these further and see that various capabilities and techniques employed."
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aqua/index.ipynb

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"***\n",
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"\n",
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"## Contents\n",
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"Qiskit Aqua has the following tutorials and samples for the cross-domain library and domain-specific application and stacks built upon it. Aqua currently provides AI, Chemistry, Finance and Optimization domain applications.\n",
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"Qiskit Aqua has the following tutorials and samples for the cross-domain library and domain-specific application and stacks built upon it. Aqua currently provides Machine Learning, Chemistry, Finance and Optimization domain applications.\n",
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"\n",
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"### 1. [Qiskit Aqua](./)<a id='aqua'></a>\n",
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"### 5. [Qiskit Finance](../finance/)<a id='finance'></a>\n",
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"\n",
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"Qiskit Finance is a set of tools, algorithms and software for use with quantum computers to carry out research and investigate how to take advantage of quantum computing power to solve problems in the financial domain.\n",
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"Please also see the [Qiskit Finance Tutorials](https://github.com/Qiskit/qiskit-tutorials/tree/master/qiskit/finance/index.ipynb) for more examples.\n",
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"Please also see the [Qiskit Finance Tutorials](https://github.com/Qiskit/qiskit-iqx-tutorials/tree/master/qiskit/advanced/aqua/finance/index.ipynb) for more examples.\n",
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"\n",
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"Quantum computing for option pricing:\n",
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"* <a href=\"../finance/simulation/long_butterfly.ipynb\">Long Butterfly</a> (univariate, payoff with 4 segments)\n",

finance/simulation/iron_condor.ipynb

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"# _*Pricing Iron Condor Option*_ \n",
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"\n",
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"The latest version of this notebook is available on https://github.com/Qiskit/qiskit-tutorials.\n",
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"The latest version of this notebook is available on https://github.com/Qiskit/qiskit-iqx-tutorials.\n",
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"\n",
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"***\n",
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"### Contributors\n",
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],
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"metadata": {
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"kernelspec": {
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"display_name": "qiskit_master",
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.1"
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"version": "3.7.4"
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"nbformat": 4,

finance/simulation/long_butterfly.ipynb

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"# _*Pricing Long Butterfly Options*_ \n",
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"\n",
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"The latest version of this notebook is available on https://github.com/Qiskit/qiskit-tutorials.\n",
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"The latest version of this notebook is available on https://github.com/Qiskit/qiskit-iqx-tutorials.\n",
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"\n",
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"***\n",
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"### Contributors\n",
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"name": "python",
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"version": "3.7.4"
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finance/simulation/short_butterfly.ipynb

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"# _*Pricing Short Butterfly Options*_ \n",
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"\n",
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"The latest version of this notebook is available on https://github.com/Qiskit/qiskit-tutorials.\n",
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"The latest version of this notebook is available on https://github.com/Qiskit/qiskit-iqx-tutorials.\n",
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"***\n",
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"### Contributors\n",
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"metadata": {
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"kernelspec": {
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"name": "python",
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"nbformat": 4,

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