Qiskit Application Benchmarks

Usage

In order to run benchmarks, run:

• Finance: make asv TARGET=finance ASVCMD=run
• Machine Learning: make asv TARGET=machine_learning ASVCMD=run
• Optimization: make asv TARGET=optimization ASVCMD=run
• Nature: make asv TARGET=nature ASVCMD=run

Before any benchmarking, you need to set once your machine info. If you accept defaults, for finance for instance, run make asv TARGET=finance ASVCMD=machine ASVOPTS=--yes Another option is to run in development mode as a validation: make asv TARGET=machine_learning ASVCMD=dev

Documentation for asv can be found at ASV Documentation

The benchmark results can be found at ASV Results

Contribution Guidelines

If you'd like to contribute to Qiskit, please take a look at our contribution guidelines. This project adheres to Qiskit's code of conduct. By participating, you are expected to uphold this code.

We use GitHub issues for tracking requests and bugs. Please join the Qiskit Slack community and for discussion and simple questions. For questions that are more suited for a forum, we use the Qiskit tag in Stack Overflow.

Authors and Citation

Application Benchmarks were inspired, authored and brought about by the collective work of a team of researchers. Application Benchmarks continues to grow with the help and work of many people, who contribute to the project at different levels. If you use Qiskit, please cite as per the provided BibTeX file.

Please note that if you do not like the way your name is cited in the BibTex file then consult the information found in the .mailmap file.

License

This project uses the Apache License 2.0.