Skip to content

Latest commit

 

History

History
392 lines (263 loc) · 17 KB

CHANGELOG.md

File metadata and controls

392 lines (263 loc) · 17 KB
Raw

Changelog

0.0.5

  • Fix: Bug in swap.py. Added test to cover bug found.

  • Fix: Bug in ppt_distinguishability.py that prevented checking for higher dimensions. Added test to cover bug found.

  • Fix: Bug in ppt_distinguishability.py that prevented checking 2-dimensional cases.

  • Fix: Bug in state_distinguishability.py. Value returned was being multiplied by an unnecessary factor. Added other tests that would have caught this.

  • Fix: Bug in partial_trace.py. Added test to cover bug found.

  • Fix: Bug in partial_transpose.py for non-square matrices. Adding test cases to cover this previously failing case.

  • Fix: Bug in purity.py. Squaring matrix was using **2 instead of np.linalg.matrix_power

  • Fix: Bug in random_state_vector.py. Added tests to cover.

  • Fix: Bug in schmidt_rank.py. Added tests to cover.

  • Feature: Added in symmetric_extension_hierarchy.py. The function is a hierarchy of semidefinite programs that eventually converge to the separable value for distinguishing an ensemble of quantum states. The first level is just the standard PPT distinguishability probability. Computing higher levels of this hierarchy can become intractable quite quickly.

  • Feature: Added in ability to perform both minimum-error and unambiguous state discrimination in state_distinguishability.py. Adding additional tests to test_state_distinguishability.py to cover this extra feature.

  • Feature: Added majorizes.py; a function to determine whether a vector or matrix majorizes another. This is used as a criterion to determine whether a quantum state can be converted to another via LOCC. Added test_majorizes.py for unit testing.

  • Feature: Added perfect_matchings.py; a function that calculates all the perfect matchings of a given list of objects. Added test_perfect_matchings.py for unit testing.

  • Feature: Added breuer.py under states/; a specific bound-entangled state of interest. Added in test_breuer.py for unit testing.

  • Feature: Added brauer.py under states/. Added in test_brauer.py for unit testing.

  • Feature: Added entanglement_of_formation.py under state_props/. Added in test_entanglement_of_formation.py for unit testing.

  • Feature: Added l1_norm_coherence.py under state_props/. Added test_l1_norm_coherence.py for unit testing.

  • Enhancement: Adding further tests for symmetric_projection.py.

  • Enhancement: Adding further tests for ppt_distinguishability.py.

  • Enhancement: Adding further tests for reduction.py

  • Enhancement: Consolidating conclusive_state_exclusion.py and unambiguous_state_exclusion.py to just state_exclusion.py. Adding in optional parameter to specify method of exclusion. Consolidated tests in test_state_exclusion.py.

0.0.6

  • Feature: Added in_separable_ball.py under state_props/. Knowing whether a density matrix (quantum state) is contained in the separable ball centered at the maximally-mixed state is useful for separability testing. Added test_in_separable_ball.py for unit testing.

  • Feature: Added in ability to perform both minimum-error and unambiguous state discrimination in ppt_distinguishability.py. Adding additional tests to ppt_state_distinguishability.py to cover this extra feature.

  • Feature: Added in ability to compute both primal and dual optimization problems in ppt_distinguishability.py. This gives the user the capability to obtain the measurement operators and also to use the computationally efficiency of the dual problem to make quicker numeric calculations.

  • Feature: Added unvec.py under matrix_ops/. This feature is the inverse of pre-existing "vec" operation found in vec.py. That is, it allows one to take a vector and transform it to a (possibly square) matrix.

  • Feature: Added choi_to_kraus.py under channel_ops/. This feature allows the user to convert a Choi matrix to a list of Kraus operators. This is the inverse of the existing kraus_to_choi.py functionality that toqito currently offers.

  • Feature: Add is_mutually_orthogonal.py under state_props/. This feature allows the user to determine whether a given set of states (vectors) are mutually orthogonal with each other.

  • Feature: Add has_symmetric_extension.py under state_props/. This feature is very useful for determining whether a given state is entangled by checking whether there exists a symmetric extension for that state.

  • Feature: Add cvx_kron.py under helper/. This feature allows one to compute the Kronecker product between two entities, where either two may be of type np.ndarray or a cvxpy expression.

  • Feature: Add is_identity.py to state_props/. This feature allows one to check if a given matrix is equal to the identity matrix.

  • Enhancement: Previously ignore tests for channel_props/ are now being run as part of the testing suite.

  • Enhancement: More robust error checking and adding tolerance arguments for various matrix properties found in matrix_props/.

  • Doc-Fix: Trailing back-tick quotes removed in li_norm_coherence.py.

  • Fix: Bug in symmetric_extension_hierarchy.py for level=1 case. Added test to cover this bug.

  • Fix: Bug in states/tile.py produced 3-dimensional vectors when they should have in fact been 9-dimensional vectors.

  • Fix: Warning in testing suite for test_symmetric_projection.py for previously using the deprecated numpy.matrix class has since been fixed and the warning hence resolved.

  • Fix: The states/isotropic.py file no longer requires the use of the deprecated numpy.matrix class.

0.0.7

  • Feature: Added is_unital.py under channel_props/. This feature allows the user to determine whether a given channel (specified by either its Choi matrix or by its Kraus operators) is unital.

  • Feature: Added is_trace_preserving.py under channel_props/. This feature allows the user to determine whether a given channel (specified by either its Choi matrix or by its Kraus operators) is trace-preserving.

  • Feature: Added log_negativity.py under state_props. This feature allows the user to calculate the log negativty of a quantum state.

  • Feature: Added channel_fidelity.py under channel_metrics/. This feature allows the user to calculate the channel fidelity between the Choi representations of two quantum channels.

  • Feature: Added is_idempotent.py under matrix_props/. This feature allows the user to determine whether a given matrix is idempotent.

  • Enhancement: Adding rtol and atol tolerance parameters for is_herm_preserving.py.

  • Enhancement: Improving speed of calculating the classical value of nonlocal game. This enhancement is taken from QETLAB which was inspired by pre-print arxiv:2005.13418.

  • Enhancement: Parallel repetitions for the classical value of a nonlocal game is now supported.

  • Fix: The partial_channel.py function has been enhanced to deal with completely positive maps specified by Kraus operators as input.

  • Fix: The GHZ state now supports either dimension or parameter 1 instead of it previously being 2

1.0.0

  • Fix: Various documentation fixes and updates.

  • Fix: Index error for unambiguous quantum state distinguishability.

1.0.1

  • Feature: Added bures_distance.py under state_metrics/. This feature allows the user to determine whether a given matrix is idempotent.

  • Feature: Added singlet.py under states/. This feature allows one to yield a singlet state of dimension dim.

  • Feature: Added is_quantum_channel under channel_props. This feature allows one to check whether a given input provided as either a list of Kraus operators, or, a Choi matrix constitutes a valid quantum channel.

  • Fix: Permute systems had a bug where if the inv_perm option in permute_systems.py was selected, the standard permutation was calculated (not the inverse permutation). Further unit tests are included to catch similar failures.

  • Fix: The partial_transpose.py function did not accurately calculate the partial transpose on matrices of certain dimension. The fix for permute_systems.py fixes the issue with partial_transpose.py. Further unit tests are included to catch similar failures.

  • Fix: The partial_trace.py function was not accurately calculating the partial trace when the argument was specified as a list of dimensions for certain cases. This has been fixed and further test cases have been included to prevent this from occurring.

  • Fix: The swap.py function was not accurately swapping on all sub-systems. Further unit tests are included to catch similar failures.

  • Fix: The hadamard.py function was not yielding Hadamard matrices of proper size and value. Fixed and added tests to cover this case.

  • Fix: The schmidt_decomposition.py function was taking an incorrect argument into the SVD function. Fixed and added further tests cases to cover.

  • Fix: The is_product_vector.py was making use of the schmidt_decomposition.py function incorrectly. Fixed and added further test cases.

  • Enhancement: Adding ability for schmidt_rank.py function to process not just vectors, but also matrices. Adding in unit tests to cover this case.

  • Enhancement: Adding the ability for is_product.py function to process not just vectors, but also matrices. Adding in unit tests to cover this case.

  • Enhancement: Simplified code for nonlocal_game.py and extended_nonlocal_game.py

  • Enhancement: Some general documentation clean-up.

1.0.2

  • Enhancement: Update to Python 3.9 from 3.7.

  • Feature: Added dual_channel.py under channel_ops. This feature allows one to calculate the dual channel of a given input provided as either a list of Kraus operators, or, a Choi matrix that represents a valid quantum channel.

  • Fix: Thanks to Jake Xuereb for a fix in the concurrence.py function that was incorrectly not taking the transpose.

  • Feature: Thanks to Joseph Li (@jli0108) for the ability to calculate the Schmidt decomposition.

  • Feature: Added diamond_norm.py under channel_metrics/. This feature allows the user to calculate the diamond norm between the Choi representations of two quantum channels.

  • Feature: Added is_npt.py under state_props/. This feature allows the user to determine whether a given state is has negative partial transpose (is NPT).

  • Fix: Thanks to @iftachyakar for the state distinguishability docs update

  • Fix: Thanks to @georgios-ts for the fix to symmetric_extension_hierarchy.

  • Feature: Thanks to @georgios-ts for the feature of the sk_vector_norm.

  • Feature: Thanks to @georgios-ts for the extended nonlocal game version of the NPA hierarchy in extended_nonlocal_games.

  • Fix: Thanks to @georgios-ts for a fix in the partial_transpose.py function.

  • Feature: Thanks to @georgios-ts for the block_positive.py feature that allows the user to detect if a matrix is block positive.

  • Feature: Thanks to @meandmytram for the is_separable.py feature that allows the user to test whether a quantum state represented as a density operator is entangled or separable.

  • Feature: Added standard_basis.py under matrices/ that allows one to construct the standard basis of dimension "d".

  • Feature: Added is_orthonormal.py under matrix_props/ that allows one to determine if a collection of vectors or matrices are orthonormal.

  • Feature: Thanks to @AdithyaSireesh for hilbert_schmidt_inner_product.py under state_metrics/ that allows one to calculate the Hilbert-Schmidt inner product between two linear operators.

  • Enhancement: Updating Union syntax using the | operator instead of Union from typing.

  • Enhancement: Linting and stylistic improvements.

1.0.3

  • Version bump to fix Python package versioning issue.

1.0.4

  • Version bump to fix Python package versioning issue.

  • Adding outer_product and inner_product functions in matrix_ops (thanks to @juliusw352)

  • Fixing random number generation in random_density_matrix function to be obtained from Haar measure (thanks to @BCasale)

  • Adding to_nonlocal_game function in XORGame that converts an XOR game definition to a NonlocalGame object (thanks to @juliusw352)

  • Adding nonsignaling function in XORGame that calculates the nonsignaling value of an XORGame object (thanks to @juliusw352)

1.0.5

  • Adding ability to perform parallel repetition for XORGame objects (thanks to @juliusw352) PR-143

  • Thanks to @puva-thakre for updating the installation and contribution guidelines. PR-153

  • Thanks to @ryanprior for providing a CI/CD testing and linting pipeline PR-154

  • Thanks to @georgios-ts for fixing a bug in apply_channel PR-155

  • Thanks to @georgios-ts for fixing a bug in sk_norm. PR-156

  • Thanks to @georgios-ts for fixing a bug in is_unitary for channels. PR-164

  • Thanks to @georgios-ts for fixing an issue in choi_to_kraus for non-CP maps. PR-162

  • Thanks for @georgios-ts for adding the channel_dim feature to allow one to extract the dimensions of a quantum channel. PR-161

  • Thanks to @AmanieOxana for integrating the completely bounded trace and spectral norms. PR-157

  • Thanks to @ErikQQY for refactoring and simplifying the partial trace and partial transpose functions. PR-158

  • Thanks to @purva-thakre for adding SDPs for calculating the fidelity of separability in fidelity_of_separability PR-165

  • Thanks to @elads888 for adding the is_diagonally_dominant feature to allow one to determine if a matrix is diagonally dominant. PR-176

  • Thanks to @epelaaez for adding the bures_angle feature. PR-181

  • Refactor of state_exclusion to take advantage of the picos SDP solver with to return both the optimal value and optimal measurements. PR-182

  • Adding feature to determine if a given matrix is circulant with is_circulant. PR-184

    1.0.7

  • Numerous improvements to linting and overall improvement in project structure (PR-190, PR-192, PR-193, PR-195, PR-200, PR-205, PR-206 PR-212, PR-223, and others). Thanks to @purva-thakre for a bunch of work here!

  • Improved test coverage in channel fidelity(PR-232), CB norm (PR-234), and KP-norm (PR-246), and more. Thanks to @purva-thakre!

  • Fixed RTD failing builds. PR-253.

  • Optimizations to checking if set of vectors are mutually orthogonal. Improvement from O(n^2) to O(n). PR-250.

  • Feature to generate a set of mutually unbiased bases for a given prime dimension. PR-272.

  • Feature to check whether a given collection of quantum states described as vectors are antidistinguishable. PR-271.

  • Feature to check whether a set of quantum states constitute an unextendible product basis or not. (thanks to @Newtech66 and @smtsjhr).

  • Feature to check if matrix is totally positive PR-274

  • Fix: Bug in state exclusion code PR-292

  • Feature: Determine whether a collection of vectors are linearly independent or not PR-324

  • Feature: Adding the BB84 states PR-327

  • Feature: Integrating the functionality to determine whether a collection of states comprise an unextendible product basis PR-328

  • Feature: Adding the PBR states PR-382

  • Feature: Adding cyclic permutation (thanks to @Bchass) PR-390

  • Feature: Adding support for density matrix and vector input for state distinguishability and exclusion PR-462

1.0.8

  • Patch for 1.0.7 as prior version was not including new files.