Quantum computing is rapidly evolving nowadays. We give below a non-exhaustive selection of tools that could be useful to anyone willing to start with quantum computation.

Drawing Quantum Circuits

• basic quantum gates (from wiki).

• quantikz from CTAN (Comprehensive TeX Archive Network), a simple LaTeX package to draw quantum circuits.

• qcircuit from CTAN, another LaTeX package to draw quantum circuits (github).

• QASM, the original circuit drawers used in the book of Nielsen and Chuang [with many examples].

Quantum Simulators and Frameworks

• Qiskit toolkit (download, documentation, textbook). The Qiskit toolkit is a python package that can emulate a quantum computer or send in the IBM Cloud platform.

• Quantum++ (github), a modern C++11 general purpose quantum computing library, composed solely of template header files. Quantum++ is written in standard C++11 and has very low external dependencies, using only the Eigen 3 linear algebra header-only template library and, if available, the OpenMP multi-processing library.

• Google Cirq (website, github), the quantum language developed by Google.

• Microsoft Quantum Dev. Kit (github, documentation and samples).

• myQLM toolkit (download), a python package to perform quantum computing provided by Atos. Recently available on Mac using “pip install myqlm”.

• softwareQ Designing Quantum Software (website), provides staq, a full stack software platform.

A more exhaustive list of quantum simulator can be found here.

An interesting website for a list of many quantum algorithms is the Quantum Algorithm Zoo.

Quantum Machine Learning Tools

• PennyLane (general website, qiskit version), a toolkit for Quantum Machine Learning.