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✨ QuickTrace: An Efficient Contour Tracing Algorithm for Defect Robustness Simulation #546
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✨ QuickTrace: An Efficient Contour Tracing Algorithm for Defect Robustness Simulation #546
Drewniok
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Drewniok:defect_operational_domain_algorithm
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# Conflicts: # include/fiction/algorithms/physical_design/design_sidb_gates.hpp
# Conflicts: # cli/cmd/simulation/opdom.hpp # docs/algorithms/sidb_simulation.rst # include/fiction/algorithms/physical_design/design_sidb_gates.hpp # include/fiction/algorithms/simulation/sidb/assess_physical_population_stability.hpp # include/fiction/algorithms/simulation/sidb/critical_temperature.hpp # include/fiction/algorithms/simulation/sidb/is_operational.hpp # include/fiction/algorithms/simulation/sidb/maximum_defect_influence_position_and_distance.hpp # include/fiction/algorithms/simulation/sidb/operational_domain.hpp # include/fiction/types.hpp # test/algorithms/simulation/sidb/assess_physical_population_stability.cpp # test/algorithms/simulation/sidb/is_operational.cpp # test/algorithms/simulation/sidb/maximum_defect_influence_position_and_distance.cpp # test/algorithms/simulation/sidb/operational_domain.cpp
# Conflicts: # bindings/pyfiction/include/pyfiction/pybind11_mkdoc_docstrings.hpp # include/fiction/io/write_svg_layout.hpp # test/utils/blueprints/layout_blueprints.hpp
Signed-off-by: GitHub Actions <[email protected]>
…thm' into defect_operational_domain_algorithm
Signed-off-by: GitHub Actions <[email protected]>
Signed-off-by: GitHub Actions <[email protected]>
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clang-tidy made some suggestions
# Conflicts: # bindings/mnt/pyfiction/include/pyfiction/algorithms/simulation/sidb/assess_physical_population_stability.hpp # bindings/mnt/pyfiction/include/pyfiction/algorithms/simulation/sidb/defect_operational_domain.hpp # bindings/mnt/pyfiction/include/pyfiction/algorithms/simulation/sidb/determine_physically_valid_parameters.hpp # bindings/mnt/pyfiction/include/pyfiction/algorithms/simulation/sidb/maximum_defect_influence_position_and_distance.hpp # bindings/mnt/pyfiction/include/pyfiction/algorithms/simulation/sidb/occupation_probability_of_excited_states.hpp # bindings/mnt/pyfiction/include/pyfiction/inout/read_sqd_layout.hpp # bindings/mnt/pyfiction/include/pyfiction/inout/write_defect_operational_domain.hpp # bindings/mnt/pyfiction/include/pyfiction/layouts/cartesian_layout.hpp # bindings/mnt/pyfiction/include/pyfiction/layouts/cell_level_layout.hpp # bindings/mnt/pyfiction/include/pyfiction/technology/sidb_lattice.hpp # bindings/mnt/pyfiction/test/algorithms/simulation/sidb/test_assess_physical_population_stability.py # bindings/mnt/pyfiction/test/algorithms/simulation/sidb/test_defect_operational_domain.py # include/fiction/io/write_svg_layout.hpp # test/utils/blueprints/layout_blueprints.hpp
…thm' into defect_operational_domain_algorithm # Conflicts: # bindings/mnt/pyfiction/include/pyfiction/algorithms/simulation/sidb/determine_physically_valid_parameters.hpp
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Description
This PR implements three key methods—Grid Search, Random Sampling, and Contour Tracing—to identify and analyze the atomic defect operational domain.
Checklist: