Conversation
Major Features: - Quantum ensemble classifier with swap and random unitary methods - Blob dataset generator for benchmarking - Generalized evaluation metrics supporting 6 metrics (accuracy, brier, f1, precision, recall, auc) - Data encoding utilities for quantum state preparation Core API Changes: - qbiocode/learning/compute_qensemble.py: Unified quantum ensemble implementation - qbiocode/utils/data_encoding.py: normalize_data, label_to_array, prepare_training_set - qbiocode/data_generation/make_blobs.py: Blob dataset generation - qbiocode/evaluation/model_evaluation.py: Enhanced evaluation_metrics function - qbiocode/utils/qutils.py: Added execute_circuit for general quantum execution Documentation: - Updated README.md with quantum ensemble usage examples - Updated CHANGELOG.md with detailed feature descriptions - Updated docs/source/tutorials.md with comprehensive tutorial guide - Added API documentation for all new modules - Cleaned tutorial notebook of implementation details Tutorial Updates: - tutorial/QEnsemble/helper_functions.py: Classical baselines and quantum workflows - tutorial/QEnsemble/QEnsemble_example_blobs.ipynb: Updated to use QBioCode API - Removed standalone modeling.py, modeling_random_unitary.py, Utils.py files - Removed implementation migration notes from notebook Bug Fixes: - Fixed KeyError issues in modeleval integration - Fixed DataFrame column access errors in RF/XGBoost best params - Fixed numpy array handling in evaluation metrics - Added comprehensive error handling for edge cases - Cleared Python and Jupyter caches References: - Macaluso et al. (2023) - IET Quantum Communication - Rhrissorrakrai et al. (2025) - arXiv:2506.02213
- Resolved merge conflicts in __init__.py files (data_generation, learning, utils, evaluation) - Applied black formatting to model_evaluation.py for consistency - Kept ensemble additions (compute_qensemble, evaluation_metrics, data_encoding, make_blobs) - Updated to use double quotes for string consistency with main branch - Integrated testing infrastructure from main (pytest, test files) - Integrated code quality improvements (black, isort, CI/CD updates) - Updated CHANGELOG with testing and code quality improvements from PR #5
- Consolidated two [Unreleased] sections into one - Combined quantum ensemble features with testing/code quality improvements - Maintains chronological order and proper formatting
- Moved apps/ directory to qbiocode/apps/ to make it part of the main package - Updated qbiocode/__init__.py to expose apps submodule - Updated setup.py entry points and package_data paths - Updated all documentation and tutorial imports from 'apps.*' to 'qbiocode.apps.*' - Added proper quoting for pip install commands with extras (zsh compatibility) - Tested imports successfully: qbiocode.apps.qprofiler and qbiocode.apps.sage Users can now use intuitive imports: from qbiocode.apps.qprofiler import qprofiler from qbiocode.apps.sage.sage import QuantumSage
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Separate out the QPL method.
Refactor QEnsemble code