QuipNetwork/xq-pyPublic

A python implementation of the Quip Network's quantum virtual machine

AI summary: A Python implementation of the Quip Network's quantum virtual machine for local protocol simulation.

Stars
5.5K
+-1 today
Forks
14
Watchers
3
Open issues
0
Open PRs
1
Contributors
~2
Commits
3
Branches
3

No licenseCreated Apr 2, 2026Last push 4mo ago+-3 this month

Quick answers

What is xq-py?
A Python implementation of the Quip Network's quantum virtual machine for local protocol simulation.
What does xq-py do?
This project provides a Python-based implementation of the quantum virtual machine (QVM) utilized by the Quip Network. It allows developers and researchers to simulate, interact with, and rigorously test the network's specific quantum computing paradigms locally on their own machines. By implementing the QVM in Python, it significantly lowers the barrier to entry for analyzing the underlying quantum logic and running complex experiments. This simulator is crucial for verifying network protocols and testing application integrations before deploying them to the broader, production Quip infrastructure. It mirrors the exact computational behavior of the live network to ensure high-fidelity testing.
Who is xq-py for?
Quantum computing researchers, network protocol engineers, and developers building applications specifically for the Quip Network who need a local simulation environment. It provides the essential tooling required for offline quantum protocol verification.
How do I get started with xq-py?
cd existing_repo
How popular is xq-py on GitHub?
QuipNetwork/xq-py has 5,510 stars and 14 forks on GitHub.

Star history

since Jul 28, 2026
02K4KJul 2026Aug 2026Sep 2026Oct 2026
5.5K stars as of Oct 4, 2026. Measured daily since Jul 28, 2026; GitHub no longer exposes earlier star timestamps.

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3 commits in the last yearLessMore

What xq-py does

This project provides a Python-based implementation of the quantum virtual machine (QVM) utilized by the Quip Network. It allows developers and researchers to simulate, interact with, and rigorously test the network's specific quantum computing paradigms locally on their own machines. By implementing the QVM in Python, it significantly lowers the barrier to entry for analyzing the underlying quantum logic and running complex experiments. This simulator is crucial for verifying network protocols and testing application integrations before deploying them to the broader, production Quip infrastructure. It mirrors the exact computational behavior of the live network to ensure high-fidelity testing.

Quantum computing researchers, network protocol engineers, and developers building applications specifically for the Quip Network who need a local simulation environment. It provides the essential tooling required for offline quantum protocol verification.

  • Python Implementation: Accessible implementation of complex quantum network logic using standard Python tools and libraries.
  • Local Simulation Environment: Allows for comprehensive offline testing and simulation of the Quip Network's QVM.
  • Protocol Analysis Capabilities: Enables researchers to deeply study and formally verify the underlying quantum protocols used by Quip.
  • Integration Ready Design: Designed to be easily integrated with other Python-based scientific and data analysis workflows.
  • Network Behavior Parity: Aims to accurately reflect the computational behavior and constraints of the production Quip network.

Where teams use it

Quantum Network Simulation

Simulate nodes and complex interactions on the Quip Network locally for testing and iterative development.

Protocol Research and Verification

Analyze and formally verify the quantum algorithms and network protocols powering the Quip infrastructure.

Integration Testing

Test Python-based applications intended to interface with the Quip Network against a reliable local mock.

Educational Exploration

Understand the architecture and operation of quantum virtual machines through a high-level Python codebase.

Getting started: cd existing_repo

README

main branch

xqvm-py

Getting started

To make it easy for you to get started with GitLab, here's a list of recommended next steps.

Already a pro? Just edit this README.md and make it your own. Want to make it easy? Use the template at the bottom!

Add your files

cd existing_repo
git remote add origin https://gitlab.com/piqued/xqvm-py.git
git branch -M main
git push -uf origin main

Integrate with your tools

Collaborate with your team

Test and Deploy

Use the built-in continuous integration in GitLab.


Editing this README

When you're ready to make this README your own, just edit this file and use the handy template below (or feel free to structure it however you want - this is just a starting point!). Thanks to makeareadme.com for this template.

Suggestions for a good README

Every project is different, so consider which of these sections apply to yours. The sections used in the template are suggestions for most open source projects. Also keep in mind that while a README can be too long and detailed, too long is better than too short. If you think your README is too long, consider utilizing another form of documentation rather than cutting out information.

Name

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Description

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Badges

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Visuals

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Usage

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Support

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View on GitHub

Recent activity

commits and pull requests

Code frequency

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last 52 weeks
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3 commits in the last 52 weeks.

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Commit volume by weekday and hour (UTC). Larger dots mean more commits.
DateListRankStars gained
Apr 10, 2026daily#8+341
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