QETLAB:Change log/v0.7
From QETLAB
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