{"id":23940484,"url":"https://github.com/pockerman/quantum_computing_cs","last_synced_at":"2026-05-16T00:10:24.952Z","repository":{"id":53081651,"uuid":"327058759","full_name":"pockerman/quantum_computing_cs","owner":"pockerman","description":"Quantum computing notes","archived":false,"fork":false,"pushed_at":"2021-04-14T14:43:46.000Z","size":635,"stargazers_count":1,"open_issues_count":19,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-11-17T00:03:21.651Z","etag":null,"topics":["notes","python","quantum-algorithms","quantum-computing","quantum-information","quantum-machine-learning","quantum-mechanics"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/pockerman.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2021-01-05T16:40:27.000Z","updated_at":"2021-10-25T20:19:00.000Z","dependencies_parsed_at":"2022-09-11T12:42:05.488Z","dependency_job_id":null,"html_url":"https://github.com/pockerman/quantum_computing_cs","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/pockerman/quantum_computing_cs","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pockerman%2Fquantum_computing_cs","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pockerman%2Fquantum_computing_cs/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pockerman%2Fquantum_computing_cs/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pockerman%2Fquantum_computing_cs/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pockerman","download_url":"https://codeload.github.com/pockerman/quantum_computing_cs/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pockerman%2Fquantum_computing_cs/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33085193,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-15T20:25:35.270Z","status":"ssl_error","status_checked_at":"2026-05-15T20:25:34.732Z","response_time":103,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["notes","python","quantum-algorithms","quantum-computing","quantum-information","quantum-machine-learning","quantum-mechanics"],"created_at":"2025-01-06T03:17:19.008Z","updated_at":"2026-05-16T00:10:24.936Z","avatar_url":"https://github.com/pockerman.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# pyq\n\n\u003cimg src=\"notes/imgs/logo.jpeg\" width=\"60%\"  marging-left=\"60px\"/\u003e\n\nThis is my set of notes for learning quantum computing. These notes have been produced using a variety of sources. However, the main references used are\n\n\n1. Noson Y. Yanofsky, Mirco A. Mannucci, ```Quantum Computing for Computer Scientists```, Cambridge University Press.\n2. Michael A. Nielsen, Isaac L. Chuang. ```Quantum Computation and Quantum Information```, Cambridge University Press.\n3. Jack D. Hidary, ```Quantum Computing: An Applied Approach```, Springer.\n4. Eleanor Rieffel, Wolfgang Polak, ```Quantum Computing: A Gentle Introduction```, The MIT Press.\n\nPrimarily, these notes follow the first book and use other sources for further explaining points and/or fill missing details.\nI use Python to both solve the exercises as well as the examples in the first book.\n\n---\n**Remark**\n\nNote that this is work in progress. Although I try to give the credit needed, I may miss some points. \nThis is not done deliberately. Let me know if you identify places where your work has not been properly acknowledged.\n\n---\n\n## Contents\n\n- \u003ca href=\"notes/complex_numbers/complex_numbers.md\"\u003eComplex numbers\u003c/a\u003e\n- \u003ca href=\"notes/quantum_hardware/quantum_hardware.md\"\u003eQuantum hardware\u003c/a\u003e\n- \u003ca href=\"notes/quantum_algorithms/quantum_algorithms.md\"\u003eQuantum algorithms\u003c/a\u003e\n\n## Building ```jupyter-book```\n\nAssuming that you have \u003ca href=\"https://jupyterbook.org/intro.html\"\u003ejupyter-book\u003c/a\u003e installed you can generate\nand html version of the notebooks by issuing on the top level directory the following\n\n```\njupyter-book build notes/\n```\n\nThe command above will create a ```notebooks/_build``` directory.  Note that you make have to copy the ```imgs/``` into the  \n```notebooks/_build```\n\n## References \u0026 Videos\n\n1. \u003ca href=\"https://home.cern/news/announcement/computing/online-introductory-lectures-quantum-computing-6-november\"\u003eOnline introductory lectures on quantum computing from 6 November\u003c/a\u003e\n2. \u003ca href=\"https://www.youtube.com/watch?v=F_Riqjdh2oM\"\u003eQuantum Computing for Computer Scientists\u003c/a\u003e\n3. \u003ca href=\"https://www.youtube.com/watch?v=nhUKHf-GN_Y\"\u003eSteven Girvin - The Race to Build Quantum Computers (February 12, 2020)\u003c/a\u003e\n4. \u003ca href=\"https://www.youtube.com/watch?v=xnt2xSNRNn0\"\u003eQuantum Physics Full Course | Quantum Mechanics Course | Part 1\u003c/a\u003e\n5. \u003ca href=\"https://www.youtube.com/watch?v=QQCMOc8yB70\"\u003eQuantum Physics Full Course | Quantum Mechanics Course | Part 2\u003c/a\u003e\n6. \u003ca href=\"https://www.quantiki.org/\"\u003e Quantiki Quantum Information Portal and Wiki\u003c/a\u003e\n7. \u003ca href=\"https://www.youtube.com/playlist?list=PLOFEBzvs-VvrXTMy5Y2IqmSaUjfnhvBHR\"\u003eQiskit: Introduction to quantum computing and quantum hardware\u003c/a\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpockerman%2Fquantum_computing_cs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpockerman%2Fquantum_computing_cs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpockerman%2Fquantum_computing_cs/lists"}