This is a ‘type interface.’ See Type Interfaces for more info on what that is.
Stores the data relevant for a tomography problem. Includes:
- a MatrQ Interface object, which stores the dimension and is able to construct requested types;
- cached values of dim, dim2=dim*dim, and Ndof=dim*dim-1
- a factor by which to artificially amplify/reduce the number of frequency counts
- the list of POVM effects and their frequency counts (measurement data)
- the maximum likelihood estimate, along with cached values of various of its parameterizations
- a method which can calculate the loglikelihood function.
See also: Tomographer::IndepMeasTomoProblem<MatrQ_,LLHValueType_,UseCLoopInstead>
- const MatrQ matrq;
- A MatrQ Interface object which we may use to create matrices etc.
- const IntegralType dim;
- Cached dimension.
- const IntegralType dim2;
- Cached value of dim*dim
- const IntegralType Ndof;
- Cached value of dim*dim-1
- typedef .. LLHValueType;
- The type to use to store the value of the loglikelihood function calculated by calc_llh().
- LLHValueType NMeasAmplifyFactor;
- Factor by which to multiply all measurement frequencies when calculating the loglikelihood function
- typename MatrQ::VectorParamListType Exn;
- The POVM Entries, parameterized with X Parameterization
- typename MatrQ::FreqListType Nx;
- The frequency list, i.e. number of times each POVM effect was observed
- typename MatrQ::MatrixType rho_MLE;
- Maximum likelihood estimate as density matrix
- typename MatrQ::MatrixType T_MLE;
- Maximum likelihood estimate as T Parameterization of the density matrix
- typename MatrQ::VectorParamType x_MLE;
- Maximum likelihood estimate as X Parameterization
- LLHValueType calc_llh(const typename MatrQ::VectorParamType & x) const;
- Calculate the loglikelihood function, defined as
\[ \lambda\left(\rho\right) = -2\,\ln\,\mathrm{tr}\left[B^n\,\rho^{\otimes n}\right]\ . \]
The argument x is the X Parameterization of the density matrix at which the loglikelihood function should be evaluated.
