z-quantum-qubo is a library with functions for manipulating Quadratic Unconstrained Binary Optimization problems (QUBO) used for Orquestra – the platform developed by Zapata Computing for performing computations on quantum computers.
It's mostly a wrapper around the dimod package.
In order to use z-quantum-qubo in your workflow, you need to add it as an import in your Orquestra workflow:
imports:
- name: z-quantum-qubo
type: git
parameters:
repository: "[email protected]:zapatacomputing/z-quantum-qubo.git"
branch: "main"and then add it in the imports argument of your step:
- name: my-step
config:
runtime:
language: python3
imports: [z-quantum-qubo]Once that is done you can:
- use any
z-quantum-qubofunction by specifying its name and path as follows:
- name: generate-random-qubo
config:
runtime:
language: python3
imports: [z-quantum-qubo]
parameters:
file: z-quantum-qubo/steps/utils.py
function: generate_random_qubo- use tasks which import
zquantum.quboin the python code (see below)
Here's an example of how to use methods from z-quantum-qubo in a python task:
from zquantum.qubo import generate_random_qubo
qubo = generate_random_qubo(10)Even though it's intended to be used with Orquestra, z-quantum-qubo can be also used as a standalone Python module.
To install it, you just need to run pip install -e . from the main directory.
- If you'd like to report a bug/issue please create a new issue in this repository.
- If you'd like to contribute, please create a pull request.
Unit tests for this project can be run using pytest . from the main directory.
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