quantum-python | Tiny quantum algorithms framework written in Python

 by   meownoid Python Version: Current License: MIT

kandi X-RAY | quantum-python Summary

kandi X-RAY | quantum-python Summary

quantum-python is a Python library typically used in Quantum Computing, Tensorflow applications. quantum-python has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However quantum-python build file is not available. You can download it from GitHub.

This is a tiny quantum algorithms framework written in Python. Library consists of only one file quantum.py.
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              quantum-python has a low active ecosystem.
              It has 10 star(s) with 5 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              quantum-python has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of quantum-python is current.

            kandi-Quality Quality

              quantum-python has no bugs reported.

            kandi-Security Security

              quantum-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              quantum-python is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              quantum-python releases are not available. You will need to build from source code and install.
              quantum-python has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed quantum-python and discovered the below as its top functions. This is intended to give you an instant insight into quantum-python implemented functionality, and help decide if they suit your requirements.
            • R Check if f is a constant
            • Create a quantum gate
            • Apply the gate
            • Measure the probability of each state
            • Generate a random bit
            Get all kandi verified functions for this library.

            quantum-python Key Features

            No Key Features are available at this moment for quantum-python.

            quantum-python Examples and Code Snippets

            No Code Snippets are available at this moment for quantum-python.

            Community Discussions

            QUESTION

            Matplotlib plot's title is missing for unknown reason in Python
            Asked 2021-Jun-04 at 18:23

            Can anyone tell me what is wrong with this code? It is from https://jakevdp.github.io/blog/2012/09/05/quantum-python/ . Everything in it worked out except the title of the plot.I can't figure it out.

            It should look like this

            but when the code is run, it polts this

            Here is the code given:-

            ...

            ANSWER

            Answered 2021-Jun-04 at 18:23

            The problem is resolved when blit=False, though it may slow down your animation.

            Just quoting from a previous answer:

            "Possible solutions are:

            Put the title inside the axes.

            Don't use blitting"

            See: How to update plot title with matplotlib using animation?

            You also need ffmpeg installed. There are other answers on stackoverflow that help you through that installation. But for this script, here are my recommended new lines you need to add, assuming you're using Windows:

            Source https://stackoverflow.com/questions/67841265

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install quantum-python

            You can download it from GitHub.
            You can use quantum-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/meownoid/quantum-python.git

          • CLI

            gh repo clone meownoid/quantum-python

          • sshUrl

            git@github.com:meownoid/quantum-python.git

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