pulser-azure 0.1.dev20

A Pulser-compatible package to connect to Azure Pasqal Cloud Services

Azure quantum provider for Pulser

Azure quantum provider implementation to use neutral atoms based quantum computers.

Pulser Azure is a Python package to run quantum sequence on Azure Quantum infrastructure, providing access to Pasqal neutral atom quantum computers.

Installation

pip install pulser-azure

Getting started

To instantiate the AzureConnection, you need to provide a resource_id

from pulser_azure import AzureConnection

connection = AzureConnection(
    resource_id="/subscriptions/<your-subscription-id>/resourceGroups/<your-resource-group-name>/providers/Microsoft.Quantum/Workspaces/<your-workspace-name>",
)

Alternatively, the AzureConnection can discover your resource from environment variables:

export PULSER_AZURE_RESOURCE_ID="/subscriptions/<your-subscription-id>/resourceGroups/<your-resource-group-name>/providers/Microsoft.Quantum/Workspaces/<your-workspace-name>"

Then you can instantiate the provider without any arguments:

from pulser_azure import AzureConnection

connection = AzureConnection()

Now you have access to the supported backends and can design your pulse sequence. See the technical documentation on how to write a sequence.

from pulser_azure import AzureConnection
from pulser.pulse import Pulse
from pulser import QPUBackend, Sequence, Register

connection = AzureConnection()

# Retrieve all QPU devices
devices = connection.fetch_available_devices()
device = devices["pasqal.qpu.fresnel-can1"]

# Create a register of trapped atoms before performing operation on them
register = Register.square(5, 5).with_automatic_layout(device)

# Declare the sequence of pulses to perform on the register
sequence = Sequence(register, device)
sequence.declare_channel("rydberg", "rydberg_global")
omega_max = sequence.declare_variable("omega_max")

# Add a pulse to that channel with the amplitude omega_max
generic_pulse = Pulse.ConstantPulse(100, omega_max, 2, 0.0)
sequence.add(generic_pulse, "rydberg")

# Declare a backend based on the sequence and remote connection
backend = QPUBackend(sequence=sequence, connection=connection)

# Run jobs with different arguments over the same sequence and register
results = backend.run(
    job_params=[
        {"runs": 5, "variables": {"omega_max": 12}},
        {"runs": 10, "variables": {"omega_max": 6}},
    ],
    wait=True,
)

Contributing

Prerequisites

This project uses uv for dependency and environment management.

Setting up your environment

Clone the repository and sync the dev environment (this installs the project plus all dev dependencies into a local .venv):

git clone https://github.com/pasqal-io/pulser-azure.git
cd pulser-azure
uv sync

Running the test suite

uv run pytest

Linting and formatting

This project uses ruff for both linting and formatting:

uv run ruff check .          # lint
uv run ruff check . --fix    # lint and auto-fix
uv run ruff format .         # format

Pre-commit hooks

To automatically run ruff (and other checks) before each commit, install the pre-commit hooks:

uv run pre-commit install

You can run all hooks manually against the whole repo with:

uv run pre-commit run --all-files

Releasing

git tag -a v1.2.3 -m "Release 1.2.3"
git push origin v1.2.3

License

License Apache 2.0