Feat: Implement dynamic scaling factor with damping

[quantumgizmos]

This pull request includes updates to the LDPC project, focusing on versioning, test adjustments, and improvements to the behavior of the ms_scaling_factor parameter in the belief propagation algorithm. The most important changes include a version bump, modifications to test cases, and updates to the scaling factor logic in the C++ implementation.

Versioning:

• Updated the project version from 2.3.6 to 2.3.7 in pyproject.toml.

Scaling factor logic:

• Updated the logic for ms_scaling_factor in src_cpp/bp.hpp to handle negative values. Negative values now apply a damping factor using the absolute value of the scaling factor, improving flexibility in the belief propagation algorithm. [1] [2]

Test adjustments:

• Modified the ms_scaling_factor parameter in two test cases (test_400_16_6_hgp) in python_test/test_qcodes.py from 0 to -1 to reflect new behavior for negative scaling factors. [1] [2]