From 21c1563e45596b7aac30edd1e3fcc2e3273a89de Mon Sep 17 00:00:00 2001 From: Tobias Hangleiter Date: Thu, 11 Feb 2021 16:26:12 +0100 Subject: [PATCH] Fix pypi badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8680269..79d1004 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ [![codecov](https://codecov.io/gh/qutech/filter_functions/branch/master/graph/badge.svg)](https://codecov.io/gh/qutech/filter_functions) [![Build Status](https://travis-ci.org/qutech/filter_functions.svg?branch=master)](https://travis-ci.org/qutech/filter_functions) [![Documentation Status](https://readthedocs.org/projects/filter-functions/badge/?version=latest)](https://filter-functions.readthedocs.io/en/latest/?badge=latest) -[![PyPI version](https://badge.fury.io/py/filter-functions.svg)](https://badge.fury.io/py/filter-functions) +[![PyPI version](https://img.shields.io/pypi/v/filter-functions.svg)](https://pypi.org/project/filter-functions/) ## Introduction Simply put, filter functions characterize a quantum system's susceptibility to noise at a given frequency during a control operation and can thus be used to gain insight into its decoherence. The formalism allows for efficient calculation of several quantities of interest such as average gate fidelity and even the entire quantum process up to a unitary rotation. Moreover, the filter function of a composite pulse can be easily derived from those of the constituent pulses, allowing for efficient assembly and characterization of pulse sequences.