Merge branch 'main' into feature/autoqasm

.git-template/hooks/pre-commit

@@ -0,0 +1,5 @@
+#!/usr/bin/env bash
+if [ -f .pre-commit-config.yaml ]; then
+    echo 'pre-commit configuration detected, but `pre-commit install` was never run' 1>&2
+    exit 1
+fi

.github/pull_request_template.md

@@ -10,9 +10,9 @@ _Put an `x` in the boxes that apply. You can also fill these out after creating
 
 #### General
 
-- [ ] I have read the [CONTRIBUTING](https://github.com/aws/amazon-braket-sdk-python/blob/main/CONTRIBUTING.md) doc
-- [ ] I used the commit message format described in [CONTRIBUTING](https://github.com/aws/amazon-braket-sdk-python/blob/main/CONTRIBUTING.md#commit-your-change)
-- [ ] I have updated any necessary documentation, including [READMEs](https://github.com/aws/amazon-braket-sdk-python/blob/main/README.md) and [API docs](https://github.com/aws/amazon-braket-sdk-python/blob/main/CONTRIBUTING.md#documentation-guidelines) (if appropriate)
+- [ ] I have read the [CONTRIBUTING](https://github.com/amazon-braket/amazon-braket-sdk-python/blob/main/CONTRIBUTING.md) doc
+- [ ] I used the commit message format described in [CONTRIBUTING](https://github.com/amazon-braket/amazon-braket-sdk-python/blob/main/CONTRIBUTING.md#commit-your-change)
+- [ ] I have updated any necessary documentation, including [READMEs](https://github.com/amazon-braket/amazon-braket-sdk-python/blob/main/README.md) and [API docs](https://github.com/amazon-braket/amazon-braket-sdk-python/blob/main/CONTRIBUTING.md#documentation-guidelines) (if appropriate)
 
 #### Tests
 

.pre-commit-config.yaml

@@ -1,18 +1,8 @@
 repos:
-- repo: local
-  hooks:
-  - id: tox
-    name: tox
-    stages: [push]
-    language: system
-    entry: tox
-    types: [python]
-    pass_filenames: false
-
-  - id: tox_integ_tests
-    name: tox integ tests
-    stages: [push]
-    language: system
-    entry: tox -e integ-tests
-    types: [python]
-    pass_filenames: false
+  - repo: local
+    hooks:
+      - id: tox_linters
+        name: linters
+        entry: tox -e linters_check
+        language: system
+        types: [python]

CHANGELOG.md

@@ -1,5 +1,15 @@
 # Changelog
 
+## v1.55.1 (2023-09-14)
+
+### Bug Fixes and Other Changes
+
+ * Revert "update: restricting parameter names to not collide with ones we use for OpenQASM generation. (#675)"
+
+### Documentation Changes
+
+ * Replace aws org with amazon-braket
+
 ## v1.55.0 (2023-09-09)
 
 ### Features

CODEOWNERS

@@ -3,4 +3,4 @@
 # These owners will be the default owners for everything in
 # the repo. Unless a later match takes precedence, these accounts
 # will be requested for review when someone opens a pull request.
-* @aws/amazon-braket-maintainers
+* @amazon-braket/braket-maintainers

CONTRIBUTING.md

@@ -30,7 +30,7 @@ information to effectively respond to your bug report or contribution.
 
 We welcome you to use the GitHub issue tracker to report bugs or suggest features.
 
-When filing an issue, please check [existing open](https://github.com/aws/amazon-braket-sdk-python/issues) and [recently closed](https://github.com/aws/amazon-braket-sdk-python/issues?utf8=%E2%9C%93&q=is%3Aissue%20is%3Aclosed%20) issues to make sure somebody else hasn't already
+When filing an issue, please check [existing open](https://github.com/amazon-braket/amazon-braket-sdk-python/issues) and [recently closed](https://github.com/amazon-braket/amazon-braket-sdk-python/issues?utf8=%E2%9C%93&q=is%3Aissue%20is%3Aclosed%20) issues to make sure somebody else hasn't already
 reported the issue. Please try to include as much information as you can. Details like these are incredibly useful:
 
 * A reproducible test case or series of steps.
@@ -199,7 +199,7 @@ If a parameter of a function has a default value, please note what the default i
 If that default value is `None`, it can also be helpful to explain what happens when the parameter is `None`.
 If `**kwargs` is part of the function signature, link to the parent class(es) or method(s) so that the reader knows where to find the available parameters.
 
-For an example file with docstrings, see [the `circuit` module](https://github.com/aws/amazon-braket-sdk-python/blob/main/src/braket/circuits/circuit.py).
+For an example file with docstrings, see [the `circuit` module](https://github.com/amazon-braket/amazon-braket-sdk-python/blob/main/src/braket/circuits/circuit.py).
 
 
 ### Build and Test Documentation
@@ -215,12 +215,12 @@ You can then find the generated HTML files in `build/documentation/html`.
 
 ## Find Contributions to Work On
 
-Looking at the existing issues is a great way to find something to contribute on. As our projects, by default, use the default GitHub issue labels ((enhancement/bug/duplicate/help wanted/invalid/question/wontfix), looking at any ['help wanted'](https://github.com/aws/amazon-braket-sdk-python/labels/help%20wanted) issues is a great place to start.
+Looking at the existing issues is a great way to find something to contribute on. As our projects, by default, use the default GitHub issue labels ((enhancement/bug/duplicate/help wanted/invalid/question/wontfix), looking at any ['help wanted'](https://github.com/amazon-braket/amazon-braket-sdk-python/labels/help%20wanted) issues is a great place to start.
 
 ## Building Integrations
-The Amazon Braket SDK supports integrations with popular quantum computing frameworks such as [PennyLane](https://github.com/aws/amazon-braket-pennylane-plugin-python), [Strawberryfields](https://github.com/aws/amazon-braket-strawberryfields-plugin-python) and [DWave's Ocean library](https://github.com/aws/amazon-braket-ocean-plugin-python). These serve as a good reference for a new integration you wish to develop. 
+The Amazon Braket SDK supports integrations with popular quantum computing frameworks such as [PennyLane](https://github.com/amazon-braket/amazon-braket-pennylane-plugin-python), [Strawberryfields](https://github.com/amazon-braket/amazon-braket-strawberryfields-plugin-python) and [DWave's Ocean library](https://github.com/amazon-braket/amazon-braket-ocean-plugin-python). These serve as a good reference for a new integration you wish to develop. 
 
-When developing a new integration with the Amazon Braket SDK, please remember to update the [user agent header](https://datatracker.ietf.org/doc/html/rfc7231#section-5.5.3) to include version information for your integration. An example can be found [here](https://github.com/aws/amazon-braket-pennylane-plugin-python/commit/ccee35604afc2b04d83ee9103eccb2821a4256cb). 
+When developing a new integration with the Amazon Braket SDK, please remember to update the [user agent header](https://datatracker.ietf.org/doc/html/rfc7231#section-5.5.3) to include version information for your integration. An example can be found [here](https://github.com/amazon-braket/amazon-braket-pennylane-plugin-python/commit/ccee35604afc2b04d83ee9103eccb2821a4256cb). 
 
 ## Code of Conduct
 
@@ -236,6 +236,6 @@ If you discover a potential security issue in this project we ask that you notif
 
 ## Licensing
 
-See the [LICENSE](https://github.com/aws/amazon-braket-sdk-python/blob/main/LICENSE) file for our project's licensing. We will ask you to confirm the licensing of your contribution.
+See the [LICENSE](https://github.com/amazon-braket/amazon-braket-sdk-python/blob/main/LICENSE) file for our project's licensing. We will ask you to confirm the licensing of your contribution.
 
 We may ask you to sign a [Contributor License Agreement (CLA)](http://en.wikipedia.org/wiki/Contributor_License_Agreement) for larger changes.

README.md

@@ -2,8 +2,8 @@
 
 [![Latest Version](https://img.shields.io/pypi/v/amazon-braket-sdk.svg)](https://pypi.python.org/pypi/amazon-braket-sdk)
 [![Supported Python Versions](https://img.shields.io/pypi/pyversions/amazon-braket-sdk.svg)](https://pypi.python.org/pypi/amazon-braket-sdk)
-[![Build status](https://github.com/aws/amazon-braket-sdk-python/actions/workflows/python-package.yml/badge.svg?branch=main)](https://github.com/aws/amazon-braket-sdk-python/actions/workflows/python-package.yml)
-[![codecov](https://codecov.io/gh/aws/amazon-braket-sdk-python/branch/main/graph/badge.svg?token=1lsqkZL3Ll)](https://codecov.io/gh/aws/amazon-braket-sdk-python)
+[![Build status](https://github.com/amazon-braket/amazon-braket-sdk-python/actions/workflows/python-package.yml/badge.svg?branch=main)](https://github.com/amazon-braket/amazon-braket-sdk-python/actions/workflows/python-package.yml)
+[![codecov](https://codecov.io/gh/amazon-braket/amazon-braket-sdk-python/branch/main/graph/badge.svg?token=1lsqkZL3Ll)](https://codecov.io/gh/amazon-braket/amazon-braket-sdk-python)
 [![Documentation Status](https://img.shields.io/readthedocs/amazon-braket-sdk-python.svg?logo=read-the-docs)](https://amazon-braket-sdk-python.readthedocs.io/en/latest/?badge=latest)
 
 The Amazon Braket Python SDK is an open source library that provides a framework that you can use to interact with quantum computing hardware devices through Amazon Braket.
@@ -44,7 +44,7 @@ pip install amazon-braket-sdk
 You can also install from source by cloning this repository and running a pip install command in the root directory of the repository:
 
 ```bash
-git clone https://github.com/aws/amazon-braket-sdk-python.git
+git clone https://github.com/amazon-braket/amazon-braket-sdk-python.git
 cd amazon-braket-sdk-python
 pip install .
 ```
@@ -155,7 +155,7 @@ To select a quantum hardware device, specify its ARN as the value of the `device
 **Important** Quantum tasks may not run immediately on the QPU. The QPUs only execute quantum tasks during execution windows. To find their execution windows, please refer to the [AWS console](https://console.aws.amazon.com/braket/home) in the "Devices" tab.
 
 ## Sample Notebooks
-Sample Jupyter notebooks can be found in the [amazon-braket-examples](https://github.com/aws/amazon-braket-examples/) repo.
+Sample Jupyter notebooks can be found in the [amazon-braket-examples](https://github.com/amazon-braket/amazon-braket-examples/) repo.
 
 ## Braket Python SDK API Reference Documentation
 
@@ -233,14 +233,18 @@ tox -e integ-tests -- your-arguments
 ### Issues and Bug Reports
 
 If you encounter bugs or face issues while using the SDK, please let us know by posting 
-the issue on our [Github issue tracker](https://github.com/aws/amazon-braket-sdk-python/issues/).  
+the issue on our [Github issue tracker](https://github.com/amazon-braket/amazon-braket-sdk-python/issues/).  
 For other issues or general questions, please ask on the [Quantum Computing Stack Exchange](https://quantumcomputing.stackexchange.com/questions/ask) and add the tag amazon-braket.
 
 ### Feedback and Feature Requests
 
 If you have feedback or features that you would like to see on Amazon Braket, we would love to hear from you!  
-[Github issues](https://github.com/aws/amazon-braket-sdk-python/issues/) is our preferred mechanism for collecting feedback and feature requests, allowing other users 
+[Github issues](https://github.com/amazon-braket/amazon-braket-sdk-python/issues/) is our preferred mechanism for collecting feedback and feature requests, allowing other users 
 to engage in the conversation, and +1 issues to help drive priority. 
 
+### Code contributors
+
+[![Contributors](https://contrib.rocks/image?repo=amazon-braket/amazon-braket-sdk-python)](https://github.com/amazon-braket/amazon-braket-sdk-python/graphs/contributors)
+
 ## License
 This project is licensed under the Apache-2.0 License.

doc/examples-adv-circuits-algorithms.rst

@@ -7,19 +7,19 @@ Learn more about working with advanced circuits and algoritms.
 .. toctree::
     :maxdepth: 2
 
-************************************************************************************************************************************************
-`Grover's search algorithm <https://github.com/aws/amazon-braket-examples/blob/main/examples/advanced_circuits_algorithms/Grover/Grover.ipynb>`_
-************************************************************************************************************************************************
+**********************************************************************************************************************************************************
+`Grover's search algorithm <https://github.com/amazon-braket/amazon-braket-examples/blob/main/examples/advanced_circuits_algorithms/Grover/Grover.ipynb>`_
+**********************************************************************************************************************************************************
 
 This tutorial provides a step-by-step walkthrough of Grover's quantum algorithm. 
 You learn how to build the corresponding quantum circuit with simple modular building 
 blocks using the Amazon Braket SDK. You will learn how to build custom 
 gates that are not part of the basic gate set provided by the SDK. A custom gate can used 
 as a core quantum gate by registering it as a subroutine.
 
-********************************************************************************************************************************************************************************************************
-`Quantum amplitude amplification <https://github.com/aws/amazon-braket-examples/blob/main/examples/advanced_circuits_algorithms/Quantum_Amplitude_Amplification/Quantum_Amplitude_Amplification.ipynb>`_
-********************************************************************************************************************************************************************************************************
+******************************************************************************************************************************************************************************************************************
+`Quantum amplitude amplification <https://github.com/amazon-braket/amazon-braket-examples/blob/main/examples/advanced_circuits_algorithms/Quantum_Amplitude_Amplification/Quantum_Amplitude_Amplification.ipynb>`_
+******************************************************************************************************************************************************************************************************************
 
 This tutorial provides a detailed discussion and implementation of the Quantum Amplitude Amplification (QAA) 
 algorithm using the Amazon Braket SDK. QAA is a routine in quantum computing which generalizes the idea behind 
@@ -29,18 +29,18 @@ target states in a given search space. In a quantum computer, QAA can be used to
 quadratic speedup over several classical algorithms.
 
 
-**************************************************************************************************************************************************************************************
-`Quantum Fourier transform <https://github.com/aws/amazon-braket-examples/blob/main/examples/advanced_circuits_algorithms/Quantum_Fourier_Transform/Quantum_Fourier_Transform.ipynb>`_
-**************************************************************************************************************************************************************************************
+************************************************************************************************************************************************************************************************
+`Quantum Fourier transform <https://github.com/amazon-braket/amazon-braket-examples/blob/main/examples/advanced_circuits_algorithms/Quantum_Fourier_Transform/Quantum_Fourier_Transform.ipynb>`_
+************************************************************************************************************************************************************************************************
 
 This tutorial provides a detailed implementation of the Quantum Fourier Transform (QFT) and 
 its inverse using Amazon Braket's SDK. The QFT is an important subroutine to many quantum algorithms, 
 most famously Shor's algorithm for factoring and the quantum phase estimation (QPE) algorithm 
 for estimating the eigenvalues of a unitary operator. 
 
-***********************************************************************************************************************************************************************************
-`Quantum phase estimation <https://github.com/aws/amazon-braket-examples/blob/main/examples/advanced_circuits_algorithms/Quantum_Phase_Estimation/Quantum_Phase_Estimation.ipynb>`_
-***********************************************************************************************************************************************************************************
+*********************************************************************************************************************************************************************************************
+`Quantum phase estimation <https://github.com/amazon-braket/amazon-braket-examples/blob/main/examples/advanced_circuits_algorithms/Quantum_Phase_Estimation/Quantum_Phase_Estimation.ipynb>`_
+*********************************************************************************************************************************************************************************************
 
 This tutorial provides a detailed implementation of the Quantum Phase Estimation (QPE) 
 algorithm using the Amazon Braket SDK. The QPE algorithm is designed to estimate the