PennyLane-Honeywell Plugin¶

Release:	0.11.0

The PennyLane-Honeywell plugin provides the ability to use Honeywell Quantum Solutions’ ion-trap quantum computing hardware with PennyLane.

PennyLane provides open-source tools for quantum machine learning, quantum computing, quantum chemistry, and hybrid quantum-classical computing.

Honeywell Quantum Solutions provides access to ion-trap quantum computing hardware over the cloud.

Note

The PennyLane-Honeywell plugin is currently in beta release. Expect some features to be updated or change in the future.

Once the PennyLane-Honeywell plugin is installed, the Honeywell Quantum Solutions online devices can be accessed straight away in PennyLane, without the need to import any additional packages.

Devices¶

PennyLane-Honeywell provides Honeywell Quantum Solutions hardware devices for PennyLane:

'honeywell.hqs'

Honeywell Quantum Solutions cloud ion-trap hardware.

Remote backend access¶

The user will need to obtain access credentials for the Honeywell Quantum Solutions platform in order to use these remote devices. These credentials should be provided to PennyLane via a configuration file or environment variable. Specifically, the variable HQS_TOKEN must contain a valid access key for Honeywell’s online platform.

Installation¶

PennyLane-Honeywell only requires PennyLane for use, no additional external frameworks are needed. The plugin can be installed via pip:

$ python3 -m pip install pennylane-honeywell

Alternatively, you can install PennyLane-Honeywell from the source code by navigating to the top directory and running

$ python3 setup.py install

If you currently do not have Python 3 installed, we recommend Anaconda for Python 3, a distributed version of Python packaged for scientific computation.

Software tests¶

To ensure that PennyLane-Honeywell is working correctly after installation, the test suite can be run by navigating to the source code folder and running

$ make test

Documentation¶

To build the HTML documentation, go to the top-level directory and run

$ make docs

The documentation can then be found in the doc/_build/html/ directory.

Support¶

Source Code: https://github.com/PennyLaneAI/pennylane-honeywell
Issue Tracker: https://github.com/PennyLaneAI/pennylane-honeywell/issues

If you are having issues, please let us know by posting the issue on our GitHub issue tracker.

Honeywell Quantum Solutions Devices¶

The PennyLane-Honeywell plugin provides the ability for PennyLane to access devices available via Honeywell Quantum Solutions’ cloud hardware service.

Cloud ion-trap machines¶

This PennyLane device connects you to ion-trap machines available from Honeywell Quantum Solutions. Once the plugin has been installed, you can use this device directly in PennyLane by specifying "honeywell.hqs" and providing the name of the online hardware machine you wish to access:

import pennylane as qml

dev = qml.device("honeywell.hqs", "machine_name", wires=2)

@qml.qnode(dev)
def circuit(w, x, y, z):
    qml.RX(w, wires=0)
    qml.CNOT(wires=[0,1])
    qml.RY(0.5, wires=0)
    return qml.expval(qml.PauliZ(0))

where machine_name is a string specifying the specific online hardware you wish to use. Contact Honeywell Quantum Solutions to receive platform access and machine names.

Remote backend access¶

The user will need to obtain access credentials for the Honeywell Quantum Solutions platform in order to use these remote devices. These credentials should be provided to PennyLane via a configuration file or environment variable. Specifically, the variable HQS_TOKEN must contain a valid access key for Honeywell’s online platform.