List of functions

This is a list of functions provided by QETLAB, arranged by category. If you would prefer an alphabetical list of all functions please see this page. Brief descriptions of these functions are provided here, as well as links to their documentation pages, where full details and numerous examples can be found.

Basic operations

• IsPSD: Determines whether or not a matrix is positive semidefinite
• Tensor: Kronecker tensor product of two or more matrices
• TensorSum: Computes a vector or operator from its tensor decomposition

Bell inequalities and nonlocality

• BellInequalityMax: Computes the maximum value of a Bell inequality
• NPAHierarchy: Determines whether or not a set of probabilities satisfy the conditions of the NPA hierarchy
• XORClassicalValue: Computes the classical value of a nonlocal binary XOR game
• XORQuantumValue: Computes the quantum value of a nonlocal binary XOR game

Distinguishing objects

• ChannelDistinguishability: Computes the maximum probability of distinguishing two quantum channels
• Distinguishability: Computes the maximum probability of distinguishing quantum states
• UPBSepDistinguishable: Determines whether or not a UPB is distinguishable by separable measurements

Entanglement and separability

Pure states

• IsProductVector: Determines if a pure state is a product vector
• SchmidtDecomposition: Computes the Schmidt decomposition of a bipartite vector
• SchmidtRank: Computes the Schmidt rank of a bipartite vector

Mixed states

• FilterNormalForm: Computes the filter normal form of an operator
• IsBlockPositive: Determines whether or not an operator is block positive
• IsEntanglingGate: Determines if a unitary is an entangling gate
• IsPPT: Determines whether or not a matrix has positive partial transpose
• IsProductOperator: Determines if an operator is an elementary tensor
• IsSeparable: Determines whether or not a bipartite operator is separable
• OperatorSchmidtDecomposition: Computes the operator Schmidt decomposition of a bipartite operator
• OperatorSchmidtRank: Computes the operator Schmidt rank of a bipartite operator
• SymmetricExtension: Determines whether or not an operator has a symmetric extension
• SymmetricInnerExtension: Determines whether or not an operator has a symmetric inner extension

Ball of separability

• AbsPPTConstraints: Builds the eigenvalue matrices that determine whether or not a state is absolutely PPT
• InSeparableBall: Checks whether or not an operator is in the ball of separability centered at the maximally-mixed state
• IsAbsPPT: Determines whether or not a density matrix is absolutely PPT

Entanglement measures

• Negativity: Computes the negativity of a bipartite density matrix

Information theory

• Entropy: Computes the von Neumann or Rényi entropy of a density matrix

Norms and distance measures

Vectors and pure states

• SkVectorNorm: Computes the s(k)-norm of a vector

Operators and mixed states

• Fidelity: Computes the fidelity of two density matrices
• kpNorm: Computes the (k,p)-norm of a vector or matrix
• kpNormDual: Computes the dual of the (k,p)-norm of a vector or matrix
• KyFanNorm: Computes the Ky Fan k-norm of an operator
• SkOperatorNorm: Bounds the S(k)-norm of an operator
• SchattenNorm: Computes the Schatten p-norm of an operator
• TraceNorm: Computes the trace norm of an operator

Superoperators and channels

• CBNorm: Computes the completely bounded norm of a superoperator
• DiamondNorm: Computes the diamond norm of a superoperator
• MaximumOutputFidelity: Computes the maximum output fidelity of two quantum channels

Permutations and symmetry of subsystems

• AntisymmetricProjection: Produces the projection onto the antisymmetric subspace
• PermutationOperator: Produces a unitary operator that permutes subsystems
• PermuteSystems: Permutes subsystems within a state or operator
• Swap: Swaps two subsystems within a state or operator
• SwapOperator: Produces a unitary operator that swaps two subsystems
• SymmetricProjection: Produces the projection onto the symmetric subspace

Random things

• RandomDensityMatrix: Generates a random density matrix
• RandomProbabilities: Computes a random probability vector, distributed uniformly on the unit simplex
• RandomStateVector: Generates a random pure state vector
• RandomSuperoperator: Generates a random superoperator (completely positive map)
• RandomUnitary: Generates a random unitary or orthogonal matrix

Special states, vectors, and operators

Pure states

• Bell: Produces a Bell state
• BrauerStates: Produces all Brauer states
• DickeState: Generates a Dicke state
• GHZState: Generates a (generalized) GHZ state
• MaxEntangled: Produces a maximally entangled bipartite pure state
• WState: Generates a (generalized) W-state

Mixed states

• BreuerState: Generates a Breuer state, which is a specific family of bound entangled states on even local dimensions
• ChessboardState: Produces a chessboard state
• GisinState: Generates a 2-qubit Gisin state
• HorodeckiState: Generates a bound entangled "Horodecki" state
• IsotropicState: Produces an isotropic state
• WernerState: Produces a Werner state

Other operators

• FourierMatrix: Generates the unitary matrix that implements the quantum Fourier transform
• GellMann: Produces a Gell-Mann operator
• GenGellMann: Produces a generalized Gell-Mann operator
• GenPauli: Produces a generalized Pauli operator
• Pauli: Produces a Pauli operator

Superoperators

• ApplyMap: Applies a superoperator to an operator
• ChoiMatrix: Computes the Choi matrix of a superoperator
• ChoiMap: Produces the Choi map or one of its generalizations
• ComplementaryMap: Computes the complementary map of a superoperator
• DepolarizingChannel: Produces a depolarizing channel
• DualMap: Computes the dual of a superoperator in the Hilbert-Schmidt inner product
• IsCP: Determines whether or not a superoperator is completely positive
• IsHermPreserving: Determines whether or not a superoperator is Hermiticity preserving
• KrausOperators: Computes a set of Kraus operators for a superoperator
• PartialMap: Applies a superoperator to a subsystem of an operator
• PartialTrace: Computes the partial trace of a matrix
• PartialTranspose: Computes the partial transpose of a matrix
• PauliChannel: Generates a Pauli channel (i.e., a quantum channel with Pauli Kraus operators)
• Realignment: Computes the realignment of a bipartite operator
• ReductionMap: Produces the reduction map
• Twirl: Twirls a bipartite or multipartite operator

Unextendible product bases

• IsUPB: Determines whether or not a set of product vectors form a UPB
• MinUPBSize: Gives the minimum cardinality of an unextendible product basis in given dimensions
• UPB: Generates an unextendible product basis

Miscellaneous

• Commutant: Computes the commutant of a set of matrices
• IsTotallyNonsingular: Determines whether or not a matrix is totally nonsingular
• IsTotallyPositive: Determines whether or not a matrix is totally positive
• Majorizes: Determines whether or not a vector or matrix majorizes another
• OperatorSinkhorn: Performs the operator Sinkhorn iteration, making all single-party reduced states proportional to the identity
• Purity: Computes the purity of a quantum state

Helper functions

• iden: Computes a sparse or full identity matrix
• jacobi_poly: Computes the coefficients of Jacobi polynomials
• normalize_cols: Scales the columns of a matrix to have norm 1
• one_factorization: Computes a 1-factorization of a list of objects
• opt_args: Handles optional input arguments for functions
• opt_disp: Display a message to the user (sometimes)
• perfect_matchings: Gives all perfect matchings of N objects
• perm_inv: Computes the inverse of a permutation
• perm_sign: Computes the sign of a permutation
• sk_iterate: Computes a lower bound of the S(k)-norm of an operator
• spnull: Returns a sparse orthonormal basis for the null space
• sporth: Returns a sparse orthonormal basis for the range
• superoperator_dims: Computes the input, output, and environment dimensions of a superoperator
• unique_perms: Computes all distinct permutations of a given vector
• update_odometer: Increases the entries of a vector subject to constraints on how large the entries of that vector can be
• vec_partitions: Produces all possible partitions of a vector