z-quantum-core

What is it?

z-quantum-core is a core library of the scientific code for Orquestra – the platform developed by Zapata Computing for performing computations on quantum computers.

z-quantum-core provides:

• core functionalities required to run other Orquestra modules, such as the Circuit class.
• interfaces for implementing other Orquestra modules, such as backends and optimizers.
• useful tools to support the development of workflows and other scientific projects; such as time evolution, sampling from probability distribution, etc.

Usage

Workflow

In order to use z-quantum-core in your workflow, you need to add it as an import in your Orquestra workflow:

imports:
- name: z-quantum-core
  type: git
  parameters:
    repository: "git@github.com:zapatacomputing/z-quantum-core.git"
    branch: "master"

and then add it in the imports argument of your step:

- name: my-step
  config:
    runtime:
      language: python3
      imports: [z-quantum-core]

Once that is done you can:

• use any z-quantum-core function by specifying its name and path as follows:

- name: generate-parameters
  config:
    runtime:
      language: python3
      imports: [z-quantum-core]
      parameters:
        file: z-quantum-core/steps/circuit.py
        function: generate_random_ansatz_params

• use tasks which import zquantum.core in the python code (see below)

Python

Here's an example of how to use methods from z-quantum-core in a python task:

from zquantum.core.circuit import (build_ansatz_circuit,
                                   load_circuit_template,
                                   load_circuit_template_params,
                                   save_circuit)

ansatz = load_circuit_template('ansatz.json');
params = load_circuit_template_params('params.json');
circuit = build_ansatz_circuit(ansatz, params);
save_circuit(circuit, 'circuit.json')

Even though it's intended to be used with Orquestra, z-quantum-core can be also used as a standalone Python module. To install it, you just need to run pip install -e . from the main directory.

Development and Contribution

• 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.

Running tests

Unit tests for this project can be run using pytest . from the main directory.