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+# QuGrad
+An extension to the Python package [QuGrad](https://QuGrad.readthedocs.io) that implements common Hilbert space structures, Hamiltonians, and pulse shapes for quantum control.
+
+[![Unit Tests](https://github.com/Christopher-K-Long/QuGradLab/actions/workflows/test-python-package.yml/badge.svg)](https://github.com/Christopher-K-Long/QuGradLab/actions/workflows/test-python-package.yml)
+
+## Installation
+
+The python package can be installed with pip as follows:
+```bash
+pip install qugradlab
+```
+
+If on Linux and using a conda environment you may encounter an error
+```
+version `GLIBCXX_...' not found
+```
+to fix this you also need to execute:
+```bash
+conda install -c conda-forge libstdcxx-ng
+```
+
+### Requirements
+
+Requires:
+- [QuGrad](https://QuGrad.readthedocs.io)
+- [PySTE](https://PySTE.readthedocs.io)
+- [TensorFlow](https://www.tensorflow.org)
+- [NumPy](https://numpy.org)
+
+#### Additional requirements for testing
+
+- [toml](https://github.com/uiri/toml)
+- [PyYAML](https://pyyaml.org/)
+
+## Documentation
+
+Documentation including worked examples can be found at: [https://QuGradLab.readthedocs.io](https://QuGradLab.readthedocs.io)
+
+## Source Code
+
+Source code can be found at: [https://github.com/Christopher-K-Long/QuGradLab](https://github.com/Christopher-K-Long/QuGradLab)
+
+## Version and Changes
+
+The current version is [`0.1.0`](ChangeLog.md#release-010). Please see the [Change Log](ChangeLog.md) for more details. QuGradLab uses [semantic versioning](https://semver.org/).
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