Support multiple executions for runtime resource tracking

[jzaia18]

Context:
Runtime resource tracking currently writes out resource data at the moment that all allocated qubits are released. This causes issues when executing functions that allocate and deallocate multiple times, such as this illustrative example:

import pennylane as qml
from pennylane.compiler.python_compiler.transforms import split_non_commuting_pass

qml.capture.enable()

dev = qml.device("lightning.qubit", wires=3)

@qml.qjit(keep_intermediate=True)
@split_non_commuting_pass
@qml.qnode(dev)
def circuit():
    qml.Hadamard(wires=0)
    return qml.expval(qml.PauliX(0)), qml.expval(qml.PauliY(0))

print(qml.specs(circuit, level="device")())

Description of the Change:
Updates NullQubit to instead write out resource information in its destructor, ensuring all resource data is the sum of data collected for all executions.

Benefits:
Prevents crashes with an ambiguous error message, allows total resource counts to be collected from split workflows

Possible Drawbacks:
The aggregated data is not possible to disaggregate if this would be desired in the future.

Related GitHub Issues:
[sc-104344]

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 97.49%. Comparing base (f930860) to head (5f91108).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #2219   +/-   ##
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  Coverage   97.49%   97.49%           
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  Files          93       93           
  Lines       10886    10890    +4     
  Branches     1038     1038           
=======================================
+ Hits        10613    10617    +4     
  Misses        211      211           
  Partials       62       62           

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[mlxd]

No notes from me --- thanks @jzaia18
I'll leave approval to others

[multiphaseCFD]

Thanks @jzaia18 . LGTM.

[paul0403]

All good from my side, just pending resolution of Shuli's comments 👍

[multiphaseCFD]

Nice one! Thanks @jzaia18 !