{"id":21026653,"url":"https://github.com/jeremiegince/learning_quantum_computer_resources","last_synced_at":"2026-03-19T18:30:05.969Z","repository":{"id":112352176,"uuid":"359566849","full_name":"JeremieGince/Learning_quantum_computer_resources","owner":"JeremieGince","description":"Some resources to help humans in the process of learning quantum computer.","archived":false,"fork":false,"pushed_at":"2021-04-20T15:27:54.000Z","size":5,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-20T14:34:58.435Z","etag":null,"topics":["qbit","quantum-computing","quantum-machine-learning","references","resources"],"latest_commit_sha":null,"homepage":"","language":null,"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/JeremieGince.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-04-19T18:55:13.000Z","updated_at":"2023-09-08T18:21:21.000Z","dependencies_parsed_at":"2023-05-13T12:00:27.176Z","dependency_job_id":null,"html_url":"https://github.com/JeremieGince/Learning_quantum_computer_resources","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/JeremieGince%2FLearning_quantum_computer_resources","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JeremieGince%2FLearning_quantum_computer_resources/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JeremieGince%2FLearning_quantum_computer_resources/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JeremieGince%2FLearning_quantum_computer_resources/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/JeremieGince","download_url":"https://codeload.github.com/JeremieGince/Learning_quantum_computer_resources/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243463510,"owners_count":20295121,"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":["qbit","quantum-computing","quantum-machine-learning","references","resources"],"created_at":"2024-11-19T11:45:44.479Z","updated_at":"2026-01-01T22:30:42.378Z","avatar_url":"https://github.com/JeremieGince.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Learning Quantum Computer Resources\nSome resources to help humans in the process of learning quantum computer.\n\n----\n# Basics\n\n* Quantum computing explained with simple mathematics. By Microsoft Research.\n  + Title: Quantum Computing for Computer Scientists\n  + Link: https://www.youtube.com/watch?v=F_Riqjdh2oM\n* Classical methods vs Quantum ones and explications about quantum gates.\n  + Title: An introduction to quantum machine learning\n  + Paper: https://arxiv.org/abs/1409.3097\n* Quantum machine learning explained by Université Laval students. It is a short french video.\n  + Title: Tensorflow QML\n  + Link: https://www.youtube.com/watch?v=LcoA53j6yiU \n\n----\n# Quantum machine learning\n\n## Python frameworks\n\n* Tensorflow: \n  + Site: https://www.tensorflow.org/quantum\n  + Github: https://github.com/tensorflow/quantum/\n  + Paper: https://arxiv.org/pdf/2003.02989.pdf\n  + Video: https://www.youtube.com/watch?v=-o9AhIz1uvo\n* Pennylane: \n  + Site: https://pennylane.ai/\n  + Github: https://github.com/PennyLaneAI/PennyLane\n  + Paper: https://arxiv.org/abs/1811.04968\n* Cirq:\n  + Site: https://quantumai.google/cirq\n  + Github: https://github.com/quantumlib/cirq\n  + Video: https://www.youtube.com/watch?v=16ZfkPRVf2w\n\n\n## Key consepts\n* Key concepts by Pennylane: https://pennylane.ai/qml/glossary.html\n\n## Devices\n* \n\n## Circuits\n* Parametrized quantum circuits by Pennylane\n  + Title: Variational circuits\n  + Link: https://pennylane.ai/qml/glossary/variational_circuit.html\n* Continuous-variable \n  + Title: Continuous-variable quantum neural networks\n  + Paper: https://arxiv.org/pdf/1806.06871.pdf\n\n## Gradient calculation\n* Parameter-shift rules by Pennylane\n  + Title: Parameter-shift rules\n  + Link: https://pennylane.ai/qml/glossary/parameter_shift.html\n\n## Backpropagation\n* Quantum gradients with backpropagation by Pennylane\n  + Title: Quantum gradients with backpropagation\n  + Link: https://pennylane.ai/qml/demos/tutorial_backprop.html\n\n## Circuit Ansatz\n* How to know which operator to used in a quantum circuit\n  + Title: Circuit Ansatz\n  + Link: https://pennylane.ai/qml/glossary/circuit_ansatz.html\n\n## Examples\n* Noisy sinus function fitting by Pennylane\n  + Title: Function fitting with a photonic quantum neural network\n  + Link: https://pennylane.ai/qml/demos/quantum_neural_net.html\n----\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjeremiegince%2Flearning_quantum_computer_resources","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjeremiegince%2Flearning_quantum_computer_resources","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjeremiegince%2Flearning_quantum_computer_resources/lists"}