New features since last release
* Defined the `QiskitDevice.batch_execute` method, to allow
Qiskit backends to run multiple quantum circuits at the same time. This
addition allows submitting batches of circuits to IBMQ e.g., when computing
gradients internally.
[(156)](https://github.com/PennyLaneAI/pennylane-qiskit/pull/156)
[(163)](https://github.com/PennyLaneAI/pennylane-qiskit/pull/163)
[(167)](https://github.com/PennyLaneAI/pennylane-qiskit/pull/167)
Improvements
* Added native support for the `qml.Identity` operation to the Qiskit devices and converters.
[(162)](https://github.com/PennyLaneAI/pennylane-qiskit/pull/162)
* Added support for the `qml.SX` operation to the Qiskit devices.
[(158)](https://github.com/PennyLaneAI/pennylane-qiskit/pull/158)
* Added support for returning job execution times.
[(160)](https://github.com/PennyLaneAI/pennylane-qiskit/pull/160)
* Added support for Python 3.10.
[(170)](https://github.com/PennyLaneAI/pennylane-forest/pull/170)
Contributors
This release contains contributions from (in alphabetical order):
Guillermo Alonso-Linaje, David Ittah, Romain Moyard, Antal Száva
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