QuantumKatas VS monthly-challenges

Compare QuantumKatas vs monthly-challenges and see what are their differences.

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QuantumKatas monthly-challenges
5 1
4,463 369
0.6% 1.9%
5.5 3.8
15 days ago 11 months ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

QuantumKatas

Posts with mentions or reviews of QuantumKatas. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-15.

monthly-challenges

Posts with mentions or reviews of monthly-challenges. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-19.

What are some alternatives?

When comparing QuantumKatas and monthly-challenges you can also consider the following projects:

PySyft - Perform data science on data that remains in someone else's server

pyzx - Python library for quantum circuit rewriting and optimisation using the ZX-calculus

qiskit-textbook - A university quantum algorithms/computation course supplement based on Qiskit

qiskit-hackathon-taiwan-20

cortx - CORTX Community Object Storage is 100% open source object storage uniquely optimized for mass capacity storage devices.

IBMQuantumChallenge2020 - Quantum Challenge problem sets

blog - Public repo for HF blog posts

pytket-docs - User manual and example notebooks for the pytket quantum SDK

AIrsenal - Machine learning Fantasy Premier League team

ibm-quantum-challenge-2021 - For IBM Quantum Challenge 2021 (May 20 - 26)

interactive_tutorials - Repository for all ArangoDB interactive tutorial notebooks.