Qiskit Aqua Tutorials

Welcome Qiskitters to Qiskit Aqua!

Contents

Qiskit Aqua has the following tutorials, samples and input files for the cross-domain library and domain-specific application and stacks built upon this:

1. Qiskit Aqua

This folder contains some Jupyter Notebook examples showing how to run algorithms in Aqua along with some Python code files too.

The folder input_files contains a number of example JSON input files that can be loaded and run by the Aqua GUI or command line tool.

The following notebooks are noted:

• Using Aqua algorithms, a how to guide
• Using Aqua's quantum evolution functionality
• The EOH (Evolution of Hamiltonian) Algorithm
• Variaitonal Eigensolver + Quantum Phase Estimation

The repository here may be viewed for the full listing.

2. Qiskit Aqua Chemistry

This folder contains some Jupyter Notebook examples showing how to run algorithms in Aqua 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 Aqua Chemistry documentation for more information on the HDF5 driver and .hdf5 files.

The folder input_files contains a number of example input files that can be loaded and run by the Aqua Chemistry GUI or command line tool.

The following notebooks are noted:

• LiH plot using ExactEigensolver One step up from getting started
• H2 dissociation curve using VQE with UCCSD
• LiH dissociation curve using VQE with UCCSD
• NaH dissociation curve using VQE with UCCSD
• Aqua Chemistry, H2O ground state computation Water using VQE and UCCSD
• H2 ground state energy computation using Iterative QPE
• H2 ground state energy with VQE and SPSA Near-term device experiment

There are many more notebooks. The repository here may be viewed for the full listing.

3. Qiskit Aqua Artificial Intelligence

Qiskit Aqua Artificial Intelligence 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 artificial intelligence problems.

• Quantum SVM kernel algorithm: multiclass classifier extension
• Quantum SVM (variational method)

The repository here may be viewed for the full listing.

4. Qiskit Aqua Optimization

Qiskit Aqua Optimization 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 optimization problems.

• Using Grover Search for 3SAT problems
• Using Aqua for partition problems
• Using Aqua for stableset problems

The repository here may be viewed for the full listing.

5. Qiskit Aqua Finance

Qiskit Aqua 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.

• Portfolio Optimization

The repository here may be viewed for the full listing.