PennyLane-Orquestra Plugin

Release

0.13.1

The PennyLane-Orquestra plugin integrates the Orquestra workflow management system for quantum computing with PennyLane’s quantum machine learning capabilities.

PennyLane is a cross-platform Python library for differentiable programming of quantum computers.

Orquestra is a workflow management system for quantum computing.

Once the PennyLane-Orquestra plugin is installed, multiple devices offered by Orquestra can be accessed straightaway in PennyLane, without the need to import new packages.

Devices

There are four different devices available:


For example, the 'orquestra.qiskit' device with two wires is called like this:

import pennylane as qml
dev = qml.device('orquestra.qiskit', wires=2)

Device options

The devices provided by the PennyLane-Orquestra plugin accept additional arguments beyond the PennyLane default device arguments. These are added to a base OrquestraDevice class.

backend=None

The Orquestra backend device to use for the specific Orquestra backend, if applicable (e.g., 'statevector_simulator' for 'orquestra.qiskit')

batch_size=10

The size of each circuit batch when using the batch_execute() method to send multiple workflows.

keep_files=False

Whether or not the workflow files generated during the circuit execution should be kept or deleted.

resources=None

An option for Orquestra, specifies the resources to be specified for each workflow step.

timeout=300

The time until a job should timeout after getting no response from Orquestra (in seconds).