diff --git a/README.md b/README.md
index 0ae9cc4e6e9..9c7bbfb7f04 100644
--- a/README.md
+++ b/README.md
@@ -1,12 +1,12 @@
 # Qiskit
-[![License](https://img.shields.io/github/license/Qiskit/qiskit-terra.svg?)](https://opensource.org/licenses/Apache-2.0) <!--- long-description-skip-begin -->
-[![Release](https://img.shields.io/github/release/Qiskit/qiskit-terra.svg)](https://github.com/Qiskit/qiskit-terra/releases)
-[![Downloads](https://img.shields.io/pypi/dm/qiskit-terra.svg)](https://pypi.org/project/qiskit-terra/)
-[![Coverage Status](https://coveralls.io/repos/github/Qiskit/qiskit-terra/badge.svg?branch=main)](https://coveralls.io/github/Qiskit/qiskit-terra?branch=main)
+[![License](https://img.shields.io/github/license/Qiskit/qiskit.svg?)](https://opensource.org/licenses/Apache-2.0) <!--- long-description-skip-begin -->
+[![Release](https://img.shields.io/github/release/Qiskit/qiskit.svg)](https://github.com/Qiskit/qiskit/releases)
+[![Downloads](https://img.shields.io/pypi/dm/qiskit.svg)](https://pypi.org/project/qiskit/)
+[![Coverage Status](https://coveralls.io/repos/github/Qiskit/qiskit/badge.svg?branch=main)](https://coveralls.io/github/Qiskit/qiskit?branch=main)
 ![PyPI - Python Version](https://img.shields.io/pypi/pyversions/qiskit)
 [![Minimum rustc 1.70](https://img.shields.io/badge/rustc-1.70+-blue.svg)](https://rust-lang.github.io/rfcs/2495-min-rust-version.html)
-[![Downloads](https://static.pepy.tech/badge/qiskit-terra)](https://pepy.tech/project/qiskit-terra)<!--- long-description-skip-end -->
-[![DOI](https://zenodo.org/badge/161550823.svg)](https://zenodo.org/badge/latestdoi/161550823)
+[![Downloads](https://static.pepy.tech/badge/qiskit)](https://pepy.tech/project/qiskit)<!--- long-description-skip-end -->
+[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2583252.svg)](https://doi.org/10.5281/zenodo.2583252)
 
 **Qiskit**  is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
 
@@ -67,7 +67,7 @@ job = sampler.run(qc_measured, shots=1000)
 result = job.result()
 print(f" > Quasi probability distribution: {result.quasi_dists}")
 ```
-Running this will give an outcome similar to `{0: 0.497, 7: 0.503}` which is `000` 50% of the time and `111` 50% of the time up to statistical fluctuations.  
+Running this will give an outcome similar to `{0: 0.497, 7: 0.503}` which is `000` 50% of the time and `111` 50% of the time up to statistical fluctuations.
 To illustrate the power of Estimator, we now use the quantum information toolbox to create the operator $XXY+XYX+YXX-YYY$ and pass it to the `run()` function, along with our quantum circuit. Note the Estimator requires a circuit _**without**_ measurement, so we use the `qc_example` circuit we created earlier.
 
 ```python