{"id":24074856,"url":"https://github.com/lfl-lab/qiskit-fall-fest-2024-tutorials","last_synced_at":"2025-08-12T00:11:12.710Z","repository":{"id":257868158,"uuid":"872061206","full_name":"LFL-Lab/qiskit-fall-fest-2024-tutorials","owner":"LFL-Lab","description":"The repository with `SQuADDS` tutorials for Qiskit Fall Fest 2024","archived":false,"fork":false,"pushed_at":"2024-10-16T15:48:58.000Z","size":9587,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-28T19:49:52.023Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LFL-Lab.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-10-13T17:20:14.000Z","updated_at":"2025-01-12T18:27:14.000Z","dependencies_parsed_at":"2024-10-16T20:26:43.317Z","dependency_job_id":null,"html_url":"https://github.com/LFL-Lab/qiskit-fall-fest-2024-tutorials","commit_stats":null,"previous_names":["lfl-lab/qiskit-fall-fest-2024-tutorials"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/LFL-Lab/qiskit-fall-fest-2024-tutorials","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LFL-Lab%2Fqiskit-fall-fest-2024-tutorials","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LFL-Lab%2Fqiskit-fall-fest-2024-tutorials/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LFL-Lab%2Fqiskit-fall-fest-2024-tutorials/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LFL-Lab%2Fqiskit-fall-fest-2024-tutorials/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LFL-Lab","download_url":"https://codeload.github.com/LFL-Lab/qiskit-fall-fest-2024-tutorials/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LFL-Lab%2Fqiskit-fall-fest-2024-tutorials/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":269976912,"owners_count":24506491,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-11T02:00:10.019Z","response_time":75,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-01-09T18:21:57.938Z","updated_at":"2025-08-12T00:11:12.685Z","avatar_url":"https://github.com/LFL-Lab.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Qiskit Fall Fest 2024 Tutorials\n\nThe repository with `SQuADDS` tutorials for Qiskit Fall Fest 2024\n\n# Tutorials\n\nThe repository will be updated with the relevant materials on the day of the tutorials\n\n## Tutorial 1: Introduction to SQuADDS (10/14/24 11 AM EST)\n\n- Jupyter Notebook: [Tutorial_1_Introduction_to_SQuADDS.ipynb](Tutorial-1_Introduction_to_SQuADDS.ipynb)\n\n- Presentation: [A Quick Intro to SQuADDS](presentations/tutorial1.pptx)\n\n## Tutorial 2: Designing a \"fab-ready\" chip with SQuADDS (10/15/24 11 AM EST)\n\n- Jupyter Notebook: [Tutorial-2_Designing_a_Chip_with_SQuADDS.ipynb](Tutorial-2_Designing_a_Chip_with_SQuADDS.ipynb)\n\n## Tutorial 3: Machine Learning Interpolations using SQuADDS (10/16/24 11 AM EST)\n\n- Jupyter Notebook: [Tutorial-3_ML_interpolation_in_SQuADDS.ipynb](Tutorial-3_ML_interpolation_in_SQuADDS.ipynb)\n\n- Presentation: [Motivation for ML Interpolations](presentations/tutorial3.pptx)\n\n# Communication\n\n## GitHub Discussion Space\n\nWe encourage you to join our [discussion space](https://github.com/LFL-Lab/SQuADDS/discussions/categories/qiskit-fall-fest-2024) on GitHub. It's the designated place to ask questions, share ideas, and engage with the [qiskit-fall-fest-2024](https://superconductingquantumhardware.framer.website/) community.\n\n## Discord Server\n\nFor more real-time conversations and collaboration, join the **SuperConducting Quantum Community** on Discord, created by Waqar.\n\n---\n\n## About SQuADDS\n\nThe SQuADDS (Superconducting Qubit And Device Design and Simulation) Database Project is an open-source resource aimed at advancing research in superconducting quantum device designs. It provides a robust workflow for generating and simulating superconducting quantum device designs, facilitating the accurate prediction of Hamiltonian parameters across a wide range of design geometries.\n\n**Paper Link:** [SQuADDS: A Database for Superconducting Quantum Device Design and Simulation](https://quantum-journal.org/papers/q-2024-09-09-1465/)\n\n**Docsite Link:** [https://lfl-lab.github.io/SQuADDS/](https://lfl-lab.github.io/SQuADDS/)\n\n**Hugging Face Link:** [https://huggingface.co/datasets/SQuADDS/SQuADDS_DB](https://huggingface.co/datasets/SQuADDS/SQuADDS_DB)\n\n**Citation**\n\nIf you use SQuADDS in your research, please cite the following paper:\n\n```bibtex\n@article{Shanto2024squaddsvalidated,\n  doi = {10.22331/q-2024-09-09-1465},\n  url = {https://doi.org/10.22331/q-2024-09-09-1465},\n  title = {{SQ}u{ADDS}: {A} validated design database and simulation workflow for superconducting qubit design},\n  author = {Shanto, Sadman and Kuo, Andre and Miyamoto, Clark and Zhang, Haimeng and Maurya, Vivek and Vlachos, Evangelos and Hecht, Malida and Shum, Chung Wa and Levenson-Falk, Eli},\n  journal = {{Quantum}},\n  issn = {2521-327X},\n  publisher = {{Verein zur F{\\\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}},\n  volume = {8},\n  pages = {1465},\n  month = sep,\n  year = {2024}\n}\n```\n\n### Contribution\n\nIf you want to contribute to the **SQuADDS** project, please review the following resources:\n\n- [How to Contribute to SQuADDS](https://lfl-lab.github.io/SQuADDS/source/resources/contribute.html)\n- [Contributing Measured Data to SQuADDS](https://lfl-lab.github.io/SQuADDS/source/tutorials/Tutorial_4_Contributing_Measured_Data_to_SQuADDS.html)\n- [Contributing Experimentally Validated Simulation Data](https://lfl-lab.github.io/SQuADDS/source/tutorials/Tutorial-3_Contributing_Validated_Simulation_Data_to_SQuADDS.html)\n\n---\n\n## Contact:\n\nFor any questions or further information, contact [Sadman Ahmed Shanto](mailto:shanto@usc.edu).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flfl-lab%2Fqiskit-fall-fest-2024-tutorials","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flfl-lab%2Fqiskit-fall-fest-2024-tutorials","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flfl-lab%2Fqiskit-fall-fest-2024-tutorials/lists"}