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aqua/README.md

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For more detail see the main [index](../index.ipynb#aqua)
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## Input files
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The folder [input_files](../input_files) contains a number of example json input files that can be loaded
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and run by the Qiskit Aqua [GUI](https://github.com/Qiskit/aqua/README.md#gui) or by the Qiskit Aqua
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[command line](https://github.com/Qiskit/aqua/README.md#command-line) tool.
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## Domains
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Aqua provides a library of cross-domain algorithms upon which domain-specific applications and stacks can be
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built. Tutorials, sample code and sample input files may be found here for:
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built. Tutorials and sample code may be found here for:
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* [Qiskit Chemistry](../chemistry)
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* [Qiskit Optimization](../optimization)

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, samples and input files 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 AI, 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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"\n",
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"This folder contains some Jupyter Notebook examples showing how to run algorithms in Aqua\n",
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"along with some Python code files too.\n",
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"\n",
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"The folder [input_files](./input_files) contains a number of example JSON input files that can be loaded \n",
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"and run by the Qiskit Aqua\n",
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"[GUI or command line](https://github.com/Qiskit/qiskit-aqua-interfaces) tool.\n",
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"\n",
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"The following notebooks are noted:\n",
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"\n",
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"* [Using Aqua algorithms, a how to guide](algorithm_introduction_with_vqe.ipynb)\n",
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"\n",
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"This folder contains some Jupyter Notebook examples showing how to run algorithms in Qiskit Chemistry along with some Python code files too. There are also some .hdf5 files containing saved molecular data that can be used in experiments, see the main Qiskit Chemistry documentation for more information on the HDF5 driver and .hdf5 files. \n",
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"\n",
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"The folder [input_files](../chemistry/input_files) contains a number of example input files that can be loaded and run by the Qiskit Aqua\n",
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"[GUI or command line](https://github.com/Qiskit/qiskit-aqua-interfaces) tool.\n",
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"\n",
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"The following notebooks are noted:\n",
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"\n",
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"* [LiH plot using ExactEigensolver](../chemistry/energyplot.ipynb) One step up from getting started\n",
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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": "3.7.3"
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"version": "3.7.4"
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}
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},
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"nbformat": 4,

chemistry/README.md

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# Qiskit Chemistry Tutorials, Samples and Input Files
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# Qiskit Chemistry Tutorials and Samples
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This folder contains some Jupyter Notebook examples showing how to run chemistry experiments using in
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Qiskit Chemistry. There are also Python code files too as well as some hdf5 files containing saved

finance/README.md

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# Qiskit Aqua Finance Tutorials, Samples and Input Files
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# Qiskit Aqua Finance Tutorials and Samples
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Qiskit Finance is a set of tools, algorithms and software for use with quantum computers to
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carry out research and investigate how to take advantage of quantum computing power to solve problems
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This folder contains some Jupyter Notebook examples. There are Python code files too.
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For more detail see the main [index](../aqua/index.ipynb#optimization)
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## Input files
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The folder [input_files](input_files) contains example JSON input files that can be loaded
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and run by the Qiskit Aqua [GUI](https://github.com/Qiskit/aqua/README.md#gui) or by the Qiskit Aqua
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[command line](https://github.com/Qiskit/aqua/README.md#command-line) tool.

finance/input_files/portfolio.json

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machine_learning/README.md

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# Qiskit Aqua Machine Learning Tutorials, Samples and Input Files
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# Qiskit Aqua Machine Learning Tutorials and Samples
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Qiskit Aqua Machine Learning is a set of tools, algorithms and software for use with quantum computers to
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carry out research and investigate how to take advantage of quantum computing power to solve machine learning

machine_learning/input_files/qsvm.json

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machine_learning/input_files/svm_classical.json

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machine_learning/input_files/vqc.json

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optimization/README.md

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# Qiskit Aqua Optimization Tutorials, Samples and Input Files
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# Qiskit Aqua Optimization Tutorials and Samples
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Qiskit Aqua Optimization is a set of tools, algorithms and software for use with quantum computers to
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carry out research and investigate how to take advantage of quantum computing power to solve optimization
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This folder contains some Jupyter Notebook examples. There are Python code files too.
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For more detail see the main [index](../aqua/index.ipynb#optimization)
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## Input files
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The folder [input_files](input_files) contains a number of example JSON input files that can be loaded
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and run by the Qiskit Aqua [GUI](https://github.com/Qiskit/aqua/README.md#gui) or by the Qiskit Aqua
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[command line](https://github.com/Qiskit/aqua/README.md#command-line) tool.

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