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All Algorithms implemented in Python
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* quantum_teleportation.py This code is for the #Hacktoberfest. This file run the quantum teleportation circuit using Qiskit. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update quantum/quantum_teleportation.py Co-authored-by: Caeden <caedenperelliharris@gmail.com> * Update quantum/quantum_teleportation.py Co-authored-by: Caeden <caedenperelliharris@gmail.com> * Update Corrected some typos. Add more comments for adding the gates. Update the variable qc with quantum_circuit in the simulator and execute. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * python return typehint solved. * Fix long line Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Caeden <caedenperelliharris@gmail.com> Co-authored-by: Christian Clauss <cclauss@me.com> |
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| .github | ||
| arithmetic_analysis | ||
| audio_filters | ||
| backtracking | ||
| bit_manipulation | ||
| blockchain | ||
| boolean_algebra | ||
| cellular_automata | ||
| ciphers | ||
| compression | ||
| computer_vision | ||
| conversions | ||
| data_structures | ||
| digital_image_processing | ||
| divide_and_conquer | ||
| dynamic_programming | ||
| electronics | ||
| file_transfer | ||
| financial | ||
| fractals | ||
| fuzzy_logic | ||
| genetic_algorithm | ||
| geodesy | ||
| graphics | ||
| graphs | ||
| greedy_methods | ||
| hashes | ||
| knapsack | ||
| linear_algebra | ||
| machine_learning | ||
| maths | ||
| matrix | ||
| networking_flow | ||
| neural_network | ||
| other | ||
| physics | ||
| project_euler | ||
| quantum | ||
| scheduling | ||
| scripts | ||
| searches | ||
| sorts | ||
| strings | ||
| web_programming | ||
| .flake8 | ||
| .gitattributes | ||
| .gitignore | ||
| .gitpod.yml | ||
| .pre-commit-config.yaml | ||
| CONTRIBUTING.md | ||
| DIRECTORY.md | ||
| LICENSE.md | ||
| pyproject.toml | ||
| README.md | ||
| requirements.txt | ||
Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.
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List of Algorithms
See our directory for easier navigation and a better overview of the project.