v0.7.1

0.7.1 (2026-06-25)

Features

• added and exported shadow_methods name list (c57773d)
• added automatic dispatching of dense updating for big ntr (dd4b23f)
• added dev dependency of snakeviz for profiling visualization (5979245)

Bug Fixes

• changed default gamma in nout sweep (3681747)
• removed verbose output from nout_metrics (839abe7)

v0.7.0

0.7.0 (2026-06-24)

⚠ BREAKING CHANGES

• fixed and realigned all the experiment helper functions, removed kwargs

Features

• added nout_sweep sweep script (fb7964f)
• added nout_metrics (b624cbf)

Bug Fixes

• fixed and realigned all the experiment helper functions, removed kwargs (117a895)
• fixed bug in ntrain sweep (0835f05)

v0.6.1

0.6.1 (2026-06-22)

Features

• added support for different observables (52e457a)

v0.6.0

0.6.0 (2026-06-22)

⚠ BREAKING CHANGES

• obserables are now adjoint by default
• refactored the library such that the frame experiment is separated. Removed prior experiment
• major refactoring, deleted a lot of unused functions publicly exported
• removed dimension sweep for the future runs

Features

• added prior experiment for MSE at high shots (196cfc7)
• obserables are now adjoint by default (e0b721d)

Miscellaneous Chores

• major refactoring, deleted a lot of unused functions publicly exported (194adc3)
• refactored the library such that the frame experiment is separated. Removed prior experiment (07005d1)
• removed dimension sweep for the future runs (2b90930)

v0.5.0

0.5.0 (2026-06-05)

v0.4.1

0.4.1 (2026-06-05)

⚠ BREAKING CHANGES

• modified pyproject to correct dependencies and uv syncing

Bug Fixes

• fixed wrong dependencies (57bde80)
• modified pyproject to correct dependencies and uv syncing (203469d)

v0.4.0

0.4.0 (2026-06-05)

⚠ BREAKING CHANGES

• now you can more easily install the pytorch version using extra arguments in uv, pandas moved to dev dependencies
• added optional cuda dependencies for GPU computing with pytorch
• changed all names to POVM frame, instead of measurement frame
• first experiment for dimension sweep
• make metric saving coordinate-aware for dimension and n_out sweeps

Features

• added optional cuda dependencies for GPU computing with pytorch (49965be)
• added total sample time in dim_sweep (84db6c0)
• first experiment for dimension sweep (1a03d7a)
• first experiment for the frame distances (0545691)
• make metric saving coordinate-aware for dimension and n_out sweeps (aeb9873)
• now timed accepts previous_time for in place update (fe0d8fa)
• now you can more easily install the pytorch version using extra arguments in uv, pandas moved to dev dependencies (ce76968)

Bug Fixes

• all the scripts now accept string as folders (85f1f1e)
• changed all names to POVM frame, instead of measurement frame (e138ba9)
• modified folder name structure for the dim_sweep (67c02e8)

v0.3.0

0.3.0 (2026-05-25)

Features

• added training_methods variable for simpler scripts (8ae25cc)
• added experimental support for resource monitoring (319bf48)
• added working folder and verbose output to the ntrain script (b8ad53c)
• first version of dim_sweep (defd81d)
• first version of shot_sweep (4a64771)
• simplified dimension sweep (cc11bc6)
• simplified naming scheme for seed so that it allows more customizability (c480641)

v0.2.0

0.2.0 (2026-05-20)

⚠ BREAKING CHANGES

• added quantum local state frame function, refactors
• the experiments have been modified for the new naming scheme for the online shadow training
• modified evaluation, deleted evaluate_layers_empirical_mse, simplified files refactors
• complete revamp of the shadow estimator object and refactoring
• complete revamp of the core.py into an internal submodule
• deleted primitive scripts for the new upcoming scripts

Features

• added quantum local state frame function, refactors (fe46a7c)
• added scripts to the package (56f712d)
• added various function name to public (2057e25)
• complete revamp of the core.py into an internal submodule (c14911d)
• complete revamp of the shadow estimator object and refactoring (b588ad8)
• deleted primitive scripts for the new upcoming scripts (3491778)
• modified evaluation, deleted evaluate_layers_empirical_mse, simplified files refactors (ce89196)
• the experiments have been modified for the new naming scheme for the online shadow training (3995bc6)
• updating scripts for the new experiments (a46e688)

v0.1.0

0.1.0 (2026-05-11)