########################################## Qiskit addon: multi-product formulas (MPF) ########################################## `Qiskit addons `_ are a collection of modular tools for building utility-scale workloads powered by Qiskit. This package contains the Qiskit addon for multi-product formulas (MPFs). These can be used to reduce the Trotter error of Hamiltonian dynamics. This package currently contains the following submodules: - ``qiskit_addon_mpf.static`` for working with static MPFs [`1-2 <#references>`_]. Documentation ------------- All documentation is available `here `_. Installation ------------ We encourage installing this package via ``pip``, when possible: .. code-block:: bash pip install 'qiskit-addon-mpf' For more installation information refer to the `installation instructions `_ in the documentation. Deprecation Policy ------------------ We follow `semantic versioning `_ and are guided by the principles in `Qiskit's deprecation policy `_. We may occasionally make breaking changes in order to improve the user experience. When possible, we will keep old interfaces and mark them as deprecated, as long as they can co-exist with the new ones. Each substantial improvement, breaking change, or deprecation will be documented in the `release notes `_. Contributing ------------ The source code is available `on GitHub `_. The developer guide is located at `CONTRIBUTING.md `_ in the root of this project's repository. By participating, you are expected to uphold Qiskit's `code of conduct `_. We use `GitHub issues `_ for tracking requests and bugs. References ---------- 1. A. Carrera Vazquez, D. J. Egger, D. Ochsner, and S. Wörner, `Well-conditioned multi-product formulas for hardware-friendly Hamiltonian simulation `_, Quantum 7, 1067 (2023). 2. S. Zhuk, N. Robertson, and S. Bravyi, `Trotter error bounds and dynamic multi-product formulas for Hamiltonian simulation `_, arXiv:2306.12569 [quant-ph]. License ------- `Apache License 2.0 `_ .. toctree:: :hidden: Documentation Home Installation Instructions Tutorials How-To Guides Explanations API Reference GitHub Release Notes