QETLAB:Change log/v0.7

New functions

• BellInequalityMax: Computes the maximum value of a Bell inequality in a classical, quantum, or no-signalling setting.
• BreuerState: Generates a Breuer state, which is a specific family of bound entangled states on even local dimensions.
• DephasingChannel: Produces a (completely or partially) dephasing channel.
• DickeState: Generates a Dicke state.
• GHZState: Generates a (generalized) GHZ state.
• GisinState: Generates a 2-qubit Gisin state.
• HorodeckiState: Generates a Horodecki state, which is a specific family of bound entangled states in (3 \otimes 3)- and (2 \otimes 4)-dimensional spaces.
• LocalDistinguishability: Computes the maximum probability of distinguishing quantum states by means of symmetric-extendible measurements.
• NPAHierarchy: Determines whether or not a set of probabilities satisfy the conditions of the NPA hierarchy, which is a necessary condition for the probabilities to arise from quantum mechanics.
• PauliChannel: Generates a Pauli channel (i.e., a quantum channel with Kraus operators that are multiples of Pauli operators).
• RandomProbabilities: Computes a random probability vector, distributed uniformly on the unit simplex.
• WState: Generates a (generalized) W-state.
• XORGameValue: Computes the classical or quantum value of a nonlocal XOR game (replaces the old functions XORClassicalValue and XORQuantumValue).
• helpers/unique_perms: Computes all distinct permutations of a given vector (the same as unique(perms(V),'rows'), but typically faster and less memory-intensive).
• helpers/update_odometer: Increases the entries of a vector subject to constraints on how large the entries of that vector can be. Useful when you want to have k nested for loops, but k isn't specified beforehand.

Changes to existing functions

• AbsPPTConstraints: The DIM input argument is now optional, and the LAM input argument can now either be a vector of eigenvalues or a density matrix (it had to be a vector of eigenvalues before).
• IsAbsPPT: Can now be used directly as a constraint or objective function within other CVX optimization problems.
• IsPPT: Can now be used directly as a constraint or objective function within other CVX optimization problems.
• IsPSD: Can now be used directly as a constraint or objective function within other CVX optimization problems.
• SymmetricExtension: Can now be used directly as a constraint or objective function within other CVX optimization problems.
• SymmetricInnerExtension: Can now be used directly as a constraint or objective function within other CVX optimization problems.
• TensorSum: Is now much faster at tensoring together lots (> 20) of sparse vectors.

Removed functions

• XORClassicalValue: Merged into XORGameValue
• XORQuantumValue: Merged into XORGameValue