Pennylane-orquestra

Latest version: v0.33.0

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0.33.0

Breaking changes 💔

* Pin the PennyLane version to <0.34
[(44)](https://github.com/PennyLaneAI/pennylane-orquestra/pull/44)

Contributors ✍️

This release contains contributions from (in alphabetical order):

Matthew Silverman

---

0.32.0

Improvements 🛠

* Add support for `qml.StatePrep` as a state preparation operation.
[(39)](https://github.com/PennyLaneAI/pennylane-orquestra/pull/39)

Breaking changes 💔

* Support for Python 3.8 has been removed, and support for Python 3.11 has been added.
[(40)](https://github.com/PennyLaneAI/pennylane-orquestra/pull/40)

Contributors ✍️

This release contains contributions from (in alphabetical order):

Mudit Pandey,
Jay Soni

---

0.28.0

Bug fixes
* Update plugin to remove the use of `decompose_hamiltonian` in favour of `pauli_decompose`. [(34)](https://github.com/PennyLaneAI/pennylane-orquestra/pull/34)

Contributors

This release contains contributions from (in alphabetical order):

Jay Soni, Antal Száva

---

0.22.0

Bug fixes

* Changes the `batch_execute` method to support executing single tapes as per
PennyLane `v0.20.0` where batch execution is the default for a QNode.
[(22)](https://github.com/XanaduAI/pennylane-orquestra/pull/22)

* Fixes issues that came from updates with `v0.22.0` PennyLane and in the
Z-Quantum libraries.
[(22)](https://github.com/XanaduAI/pennylane-orquestra/pull/22)

Contributors

This release contains contributions from (in alphabetical order):

Sam Banning, Antal Száva

---

0.15.0

Breaking changes

* For compatibility with PennyLane v0.15, the `analytic` keyword argument
has been removed from all devices. Analytic expectation values can
still be computed by setting `shots=None`.
[(16)](https://github.com/XanaduAI/pennylane-orquestra/pull/16)

Contributors

This release contains contributions from (in alphabetical order):

Josh Izaac, Antal Száva.

---

0.14.0

Improvements

* Updated the test suite for environments with IBMQX tokens and for the new
core of PennyLane.
[(14)](https://github.com/PennyLaneAI/pennylane-orquestra/pull/14/files)
[(17)](https://github.com/PennyLaneAI/pennylane-orquestra/pull/17/files)

This release contains contributions from (in alphabetical order):

Josh Izaac, Antal Száva.

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