Release 0.39.0

Breaking changes 💔

• Support for Python 3.9 has been removed, and support for 3.12 has been added. (#127)

• Upgrade minimum supported version of PennyLane to 0.38.0. (#128)

Improvements 🛠

• Enable multi-circuit submission. (#121)

Bug fixes 🐛

• Fix deprecated import path for QubitDevice. (#122)

Contributors ✍️

This release contains contributions from (in alphabetical order):

Astral Cai, Pietropaolo Frisoni, Radu Marginean, Mudit Pandey

Release 0.36.0.post0

This postfix release updates some documentation dependencies and testing.

Release 0.36.0

Release 0.36.0

New features since last release

• Added an optional theta parameter to the MS gate to enable partially entangling gates, providing more control over qubit entanglement. This feature allows for finer adjustments in quantum algorithms without affecting existing implementations. #101

Documentation 📝

• Updated the docstring for the MS operation to include the new theta parameter, explaining its use and effects on the gate operation.

Contributors ✍️

This release contains contributions from (in alphabetical order): Spencer Churchill

Release 0.34.0

New features since last release

• Application of debiasing and sharpening for error mitigation is made available, with parameters set on device initialization. Error mitigation strategies that need to be set at runtime are defined in the error_mitigation dictionary (currently a single strategy, debias, is available). Whether or not to apply sharpening to the returned results is set via the parameter sharpen. A device using debiasing and sharpening to mitigate errors can be initialized as:

  dev = qml.device("ionq.qpu", wires=2, error_mitigation={"debias": True}, sharpen=True) 

  For more details, see the IonQ Guide on sharpening and debiasing, or refer to the publication https://arxiv.org/pdf/2301.07233.pdf (#75) (#96)

Improvements 🛠

• The IonQ API version accessed via the plugin is updated from 0.1 to 0.3 (#75) (#96)

• Use new backend field to specify qpu. (#81)

Contributors ✍️

This release contains contributions from (in alphabetical order):

Spencer Churchill, Lillian Frederiksen

Release 0.32.0

Breaking changes 💔

• Support for Python 3.8 has been removed, and support for 3.11 has been added. (#78)

Improvements 🛠

• Added support for qml.StatePrep as a state preparation operation. (#77)

Contributors ✍️

This release contains contributions from (in alphabetical order):

Mudit Pandey,
Jay Soni

Release 0.28.0

New features since last release

• Add support for various IonQ native gates. (#55)

Contributors

This release contains contributions from (in alphabetical order):

Jon Donovan

Release 0.23.0

Improvements

• Added high level access to the target kwarg in the SimulatorDevice class for general IonQ devices. (#50)

Bug Fixes

• Since the histogram of probabilities returned from the remote simulator does not always sum exactly to one, the PennyLane device normalizes them to higher precision. (#53)

Contributors

This release contains contributions from (in alphabetical order):

Jon Donovan, Christina Lee, Antal Száva

Release 0.20.0

Improvements

• Added support for Python 3.10. (#46)

Bug fixes

• Parameters are converted to floats, unwrapping interface data types. (#41)

• If the response returns as a failure, an error is raised. If the user submits an empty circuit, a warning is raised. (#43)

Contributors

This release contains contributions from (in alphabetical order):

Christina Lee, Jay Soni, Antal Száva

Release 0.16.0

Improvements

• Return samples from the QPUDevice directly instead of resampling from the returned results. (#32)

Contributors

This release contains contributions from (in alphabetical order):

Dave Bacon, Nathan Killoran

Release 0.15.3

Bug fixes

• Fixes a bug where the shot number was not correctly being submitted to the API. (#29)

Contributors

This release contains contributions from (in alphabetical order):

Dave Bacon, Josh Izaac.