Add citation information to the project (microsoft#1211)

This closes microsoft#1128 by adding citations for Q#, Azure Quantum Development
Kit, and Azure Quantum Resource Estimator

---------

Co-authored-by: Stefan J. Wernli <[email protected]>

Author: tcNickolas

CITATION.cff

@@ -0,0 +1,8 @@
+cff-version: 1.2.0
+message: "If you use this software in your work, please cite it using the following metadata"
+title: "Azure Quantum Development Kit"
+repository-code: "https://github.com/microsoft/qsharp"
+license: MIT
+year: 2024
+authors:
+  - name: "Microsoft"

README.md

@@ -71,6 +71,52 @@ that may be enabled to help troubleshoot. The `qsc` command-line compiler makes
 crate [env_logger](https://docs.rs/env_logger/latest/env_logger/), which enables logging via
 environment variables, for example `RUST_LOG=debug ./target/release/qsc ./samples/Grover.qs`.
 
+## Citation
+
+If you use Q#, Azure Quantum Development Kit, or Azure Quantum Resource Estimator, please cite as follows:
+
+- Azure Quantum Development Kit:
+
+```bibtex
+@software{Microsoft_Azure_Quantum_Development,
+   author = {{Microsoft}},
+   license = {MIT},
+   title = {{Azure Quantum Development Kit}},
+   url = {https://github.com/microsoft/qsharp} }
+```
+
+- Q# programming language:
+
+```bibtex
+@inproceedings{Svore_2018, series={RWDSL2018},
+   title={{Q\#: Enabling Scalable Quantum Computing and Development with a High-level DSL}},
+   url={http://dx.doi.org/10.1145/3183895.3183901},
+   DOI={10.1145/3183895.3183901},
+   booktitle={Proceedings of the Real World Domain Specific Languages Workshop 2018},
+   publisher={ACM},
+   author={Svore, Krysta and Geller, Alan and Troyer, Matthias and Azariah, John and Granade, Christopher and Heim, Bettina and Kliuchnikov, Vadym and Mykhailova, Mariia and Paz, Andres and Roetteler, Martin},
+   year={2018},
+   month=feb, collection={RWDSL2018} }
+```
+
+- Azure Quantum Resource Estimator:
+
+```bibtex
+@inproceedings{Azure_Quantum_Resource_Estimator,
+   author = {van Dam, Wim and Mykhailova, Mariia and Soeken, Mathias},
+   title = {{Using Azure Quantum Resource Estimator for Assessing Performance of Fault Tolerant Quantum Computation}},
+   year = {2023},
+   isbn = {9798400707858},
+   publisher = {Association for Computing Machinery},
+   address = {New York, NY, USA},
+   url = {https://doi.org/10.1145/3624062.3624211},
+   doi = {10.1145/3624062.3624211},
+   booktitle = {Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis},
+   pages = {1414–1419},
+   numpages = {6},
+   series = {SC-W '23} }
+```
+
 ## Feedback
 
 If you have feedback about the content in this repository, please let us know by filing a [new issue](https://github.com/microsoft/qsharp/issues/new/choose)!

resource_estimator/README.md

@@ -6,3 +6,5 @@ The implementation for the Resource Estimator is broken up into two major compon
 - [estimates](./src/estimates.rs) - takes in logical counts and a configuration to produce the set of corresponding physical resource estimates
 
 For more information about the Azure Quantum Resource Estimator, see [the official documentation](https://learn.microsoft.com/en-us/azure/quantum/intro-to-resource-estimation).
+
+The theoretical models used in Azure Quantum Resource Estimator are described in [Beverland at al. "Assessing requirements to scale to practical quantum advantage"](https://arxiv.org/abs/2211.07629).