Python version on Quantum Cloud logs execution twice when NVQ_LOG_LEVEL=trace

[rtvuser1]

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Describe the bug

When running the python version of bernstein-vazirani.py on Quantum Cloud, with the env var set: NVQC_LOG_LEVEL=trace
It appears that the backend is reporting execution twice. Is this expected? The cpp version only reports execution once.
The test below is with 0.7.1, and uses the supplied bernstein_vazirani.py and cpp examples.

Steps to reproduce the bug

python bernstein_vazirani.py --target nvqc
[2024-05-03 00:05:38.296] Submitting jobs to NVQC service with 1 GPU(s). Max execution time: 3600 seconds (excluding queue wait time).
[2024-05-03 00:05:38.567] Posting NVQC request now

================ NVQC Device Info ================
GPU Device Name: "NVIDIA H100 80GB HBM3"
CUDA Driver Version / Runtime Version: 12.2 / 11.8
Total global memory (GB): 79.1
Memory Clock Rate (MHz): 2619.000
GPU Clock Rate (MHz): 1980.000

===== NVQC Execution Timing ======

• Pre-processing: 193 milliseconds
• Execution: 20 milliseconds
  ==================================

[2024-05-03 00:05:39.245] Posting NVQC request now

===== NVQC Execution Timing ======

• Pre-processing: 199 milliseconds
• Execution: 23 milliseconds
  ==================================
  encoded bitstring = [1, 0, 0, 0, 1]
  measured state = 10001
  Were we successful? True

Expected behavior

Executing the cpp example with --target nvqc and logging set to trace reports Execution Timing just one time, not twice.

Is this a regression? If it is, put the last known working version (or commit) here.

Not a regression

Environment

• CUDA Quantum version: 0.7.1
• Python version: 3.10.12

Suggestions

no