{"id":15906332,"url":"https://github.com/avivace/quantum-computing-intro","last_synced_at":"2026-01-16T00:48:08.640Z","repository":{"id":106679467,"uuid":"312048739","full_name":"avivace/quantum-computing-intro","owner":"avivace","description":"Afternotes on the \"Practical introduction to Quantum Computing: from qubits to quantum machine learning and beyond\" CERN course","archived":false,"fork":false,"pushed_at":"2021-09-17T07:42:11.000Z","size":19,"stargazers_count":5,"open_issues_count":0,"forks_count":4,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-02-08T13:14:46.861Z","etag":null,"topics":["afternotes","cern","course","notebook-jupyter","quantum-computing"],"latest_commit_sha":null,"homepage":"https://indico.cern.ch/event/970903/","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/avivace.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","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":"2020-11-11T17:57:45.000Z","updated_at":"2023-11-06T12:24:43.000Z","dependencies_parsed_at":null,"dependency_job_id":"60537f21-6342-4292-b29d-e14e3b6f8e94","html_url":"https://github.com/avivace/quantum-computing-intro","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/avivace%2Fquantum-computing-intro","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/avivace%2Fquantum-computing-intro/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/avivace%2Fquantum-computing-intro/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/avivace%2Fquantum-computing-intro/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/avivace","download_url":"https://codeload.github.com/avivace/quantum-computing-intro/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246905830,"owners_count":20852818,"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","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":["afternotes","cern","course","notebook-jupyter","quantum-computing"],"created_at":"2024-10-06T13:22:36.280Z","updated_at":"2026-01-16T00:48:08.626Z","avatar_url":"https://github.com/avivace.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# practical intro to quantum computing \n\nAfternotes and exercises on the *Practical introduction to quantum computing: from qubits to quantum machine learning and beyond* course given by Elías F. Combarro at CERN (Nov 2020).\n\nSlides and course material can be found [here](https://indico.cern.ch/event/970903/).\n\n- **[Lesson 1: Introduction](notes/1.md)** - November 6\n\t+ Resources: \n\t\t+ [VOD](https://indico.cern.ch/event/970903/attachments/2136822/3610772/go)\n\t\t+ [Notebook](https://indico.cern.ch/event/970903/attachments/2136822/3599300/1.-Hello%2C%20quantum%20world%21%20in%20Qiskit.ipynb)\n\t\t+ [Slides](https://indico.cern.ch/event/970903/attachments/2136822/3599305/PIQC%20Lecture%201.pdf)\n\t\t+ [Recommended books](https://indico.cern.ch/event/970903/attachments/2136822/3609946/Recommended%20books%20and%20resources.pdf)\n\t+ Contents:\n\t\t+ What is quantum computing? \n\t\t+ Applications of quantum computing.\n\t\t+ Hardware and software for quantum computing.\n\t\t+ Elements of the quantum circuit model.\n\t\t+ Introduction to the IBM Quantum Experience.\n- Lesson 2: One and two-qubit systems (Part 1) - November 13\n\t+ Contents:\n\t\t+ Quantum key distribution with the BB84 protocol.\n\t\t+ Two-qubit gates.\n\t\t+ The CHSH game. \n- Lesson 3: One and two-qubit systems (Part 2) - November 20\n\t+ Contents:\n\t\t+ Quantum teleportation.\n\t\t+ Superdense coding.\n\t\t+ Deutsch algorithm.     \n- Lesson 4: Multiqubit systems - November 27\n\t+ Contents:\n\t\t+ Multiqubit gates and universality.\n\t\t+ Quantum parallelism.\n\t\t+ Deutsch-Jozsa algorithm.\n\t\t+ Grover algorithm.\n\t\t+ Shor algorithm.\n\t\t+ HHL algorithm. \n- Lesson 5: Quantum algorithms for combinatorial optimization - December 4\n\t+ Contents:\n\t\t+ Quantum adiabatic computing and quantum annealing.\n\t\t+ Introduction to D-Wave Leap. \n\t\t+ Quantum Approximate Optimization Algorithm. \n- Lesson 6: Quantum variational algorithms and quantum machine learning - December 11\n\t+ Contents:\n\t\t+ Variational Quantum Eigensolver.\n\t\t+ Introduction to Quantum Machine Learning (QSVM, QGAN, Quantum Classifiers...)\n- Lesson 7: The future of quantum computing - December 18\n\t+ Contents:\n\t\t+ Quantum error correction.\n\t\t+ What is Quantum Supremacy?\n\t\t+ Prospects for quantum computing. \n\n## Additional resources\n\n- [CERN Openlab talk by F.Carminati: Quantum Computing for High Energy Physics Applications](https://cds.cern.ch/record/2681989)\n- EP-IT Data science seminars\n  - [Quantum Machine Learning](https://indico.cern.ch/event/975609/)\n- Academic Training Lectures\n  - [Introduction to Quantum Computing](https://indico.cern.ch/event/870515/) by Heather Gray (LBNL)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Favivace%2Fquantum-computing-intro","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Favivace%2Fquantum-computing-intro","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Favivace%2Fquantum-computing-intro/lists"}