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DSGuala committed Jan 9, 2025
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<h4>Resource estimation</h4>

* Refactored resource estimation functionality in Labs is focused on being light-weight and flexible.
The Labs `resource_estimation` module involves modifications to core PennyLane that reduce the
* Resource estimation functionality in Labs is focused on being light-weight and flexible.
The Labs `resource_estimation` module involves modifications to core PennyLane that reduce the
memory requirements and computational time of resource estimation. These include new or modified
base classes [(#6428)](https://github.com/PennyLaneAI/pennylane/pull/6428):
base classes and one new function:
* `Resources` - This class is simplified in `labs`, removing the arguments: `gate_sizes`, `depth`,
and `shots`
* `ResourceOperator` - Replaces `ResourceOperation`, expanded to include decompositions
and `shots` [(#6428)](https://github.com/PennyLaneAI/pennylane/pull/6428)
* `ResourceOperator` - Replaces `ResourceOperation`, expanded to include decompositions [(#6428)](https://github.com/PennyLaneAI/pennylane/pull/6428)
* `CompressedResourceOp` - A new class with the minimum information to estimate resources:
the operator type and the parameters needed to decompose it
one new function [(#6500)](https://github.com/PennyLaneAI/pennylane/pull/6500):
the operator type and the parameters needed to decompose it [(#6428)](https://github.com/PennyLaneAI/pennylane/pull/6428)
* `get_resources()` - A new entry point to obtain the resources from a quantum circuit
and `ResourceOperator` versions of many existing PennyLane operations, like Pauli operators,
`ResourceHadamard`, and `ResourceCNOT` [(#6447)](https://github.com/PennyLaneAI/pennylane/pull/6447)
[(#6500)](https://github.com/PennyLaneAI/pennylane/pull/6500)
[(#6579)](https://github.com/PennyLaneAI/pennylane/pull/6579)
[(#6538)](https://github.com/PennyLaneAI/pennylane/pull/6538)
[(#6592)](https://github.com/PennyLaneAI/pennylane/pull/6592).
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