Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/TeamGraphix/graphix

measurement-based quantum computing (MBQC) compiler and simulator
https://github.com/TeamGraphix/graphix

graph-states mbqc quantum quantum-computing quantum-programming-language unitaryhack

Last synced: about 1 month ago
JSON representation

measurement-based quantum computing (MBQC) compiler and simulator

Host: GitHub
URL: https://github.com/TeamGraphix/graphix
Owner: TeamGraphix
License: apache-2.0
Created: 2022-12-02T14:29:12.000Z (about 2 years ago)
Default Branch: master
Last Pushed: 2024-04-20T20:57:12.000Z (8 months ago)
Last Synced: 2024-04-22T10:12:23.114Z (8 months ago)
Topics: graph-states, mbqc, quantum, quantum-computing, quantum-programming-language, unitaryhack
Language: Python
Homepage: https://graphix.readthedocs.io
Size: 1.02 MB
Stars: 46
Watchers: 4
Forks: 16
Open Issues: 29
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff

Awesome Lists containing this project

awesome-quantum-software - Graphix - Measurement-Based Quantum Computing (MBQC) compiler, simulator and QPU interface. (Quantum simulators)

README

        

![PyPI](https://img.shields.io/pypi/v/graphix)

![License](https://img.shields.io/github/license/TeamGraphix/graphix)

![PyPI - Python Version](https://img.shields.io/pypi/pyversions/graphix)

[![Downloads](https://static.pepy.tech/badge/graphix)](https://pepy.tech/project/graphix)

[![Unitary Fund](https://img.shields.io/badge/Supported%20By-UNITARY%20FUND-brightgreen.svg)](https://unitary.fund/)

[![DOI](https://zenodo.org/badge/573466585.svg)](https://zenodo.org/badge/latestdoi/573466585)

[![CI](https://github.com/TeamGraphix/graphix/actions/workflows/ci.yml/badge.svg)](https://github.com/TeamGraphix/graphix/actions/workflows/ci.yml)

[![codecov](https://codecov.io/gh/TeamGraphix/graphix/graph/badge.svg?token=E41MLUTYXU)](https://codecov.io/gh/TeamGraphix/graphix)

[![Documentation Status](https://readthedocs.org/projects/graphix/badge/?version=latest)](https://graphix.readthedocs.io/en/latest/?badge=latest)

[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)

**Graphix** is a measurement-based quantum computing (MBQC) software package, featuring

- the measurement calculus framework with integrated graphical rewrite rules for Pauli measurement preprocessing

- circuit-to-pattern transpiler, graph-based deterministic pattern generator and manual pattern generation

- flow, gflow and pauliflow finding tools and graph visualization based on flows (see below)

- statevector, density matrix and tensornetwork pattern simulation backends

- QPU interface and fusion network extraction tool

## Installation

Install `graphix` with `pip`:

```bash

pip install graphix

```

Install together with device interface:

```bash

pip install graphix[extra]

```

this will install `graphix` and inteface for [IBMQ](https://github.com/TeamGraphix/graphix-ibmq) and [Perceval](https://github.com/TeamGraphix/graphix-perceval) to run MBQC patterns on superconducting and optical QPUs and their simulators.

## Using graphix

### generating pattern from a circuit

```python

from graphix import Circuit

circuit = Circuit(4)

circuit.h(0)

...

pattern = circuit.transpile().pattern

pattern.draw_graph()

```



note: this graph is generated from QAOA circuit, see [our example code](examples/qaoa.py). Arrows indicate the [_causal flow_](https://journals.aps.org/pra/abstract/10.1103/PhysRevA.74.052310) of MBQC and dashed lines are the other edges of the graph. the vertical dashed partitions and the labels 'l:n' below indicate the execution _layers_ or the order in the graph (measurements should happen from left to right, and nodes in the same layer can be measured simultaneously), based on the partial order associated with the (maximally-delayed) flow. 

### preprocessing Pauli measurements

```python

pattern.perform_pauli_measurements()

pattern.draw_graph()

```



(here, the graph is visualized based on [_generalized flow_](https://iopscience.iop.org/article/10.1088/1367-2630/9/8/250).)

### simulating the pattern

```python

state_out = pattern.simulate_pattern(backend="statevector")

```

### and more..

- See [demos](https://graphix.readthedocs.io/en/latest/gallery/index.html) showing other features of `graphix`.

- You can try demos on browser with mybinder.org: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/TeamGraphix/graphix-examples/HEAD)

- Read the [tutorial](https://graphix.readthedocs.io/en/latest/tutorial.html) for more usage guides.

- For theoretical background, read our quick introduction into [MBQC](https://graphix.readthedocs.io/en/latest/intro.html) and [LC-MBQC](https://graphix.readthedocs.io/en/latest/lc-mbqc.html).

- Full API docs is [here](https://graphix.readthedocs.io/en/latest/references.html).

## Citing

> Shinichi Sunami and Masato Fukushima, Graphix. (2023) 

## Contributing

We use [GitHub issues](https://github.com/TeamGraphix/graphix/issues) for tracking feature requests and bug reports.

## Discord Server

Please visit [Unitary Fund's Discord server](https://discord.com/servers/unitary-fund-764231928676089909), where you can find a channel for `graphix` to ask questions.

## Core Contributors

Dr. Shinichi Sunami (University of Oxford)

Masato Fukushima (University of Tokyo, Fixstars Amplify)

## Acknowledgements

We are proud to be supported by [unitary fund microgrant program](https://unitary.fund/grants.html).







Special thanks to Fixstars Amplify:







## License

[Apache License 2.0](LICENSE)