Tomographer
v4.0
Tomographer C++ Framework Documentation
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The Tomographer C++ Framework groups a set of classes and functions which allow to reliably analyze data from quantum experiments. These serve in particular as components for the tomorun
executable program.
The API documentation for the Python interface to Tomographer is available here.
The classes and routines of the project belong to several categories.
These are basic tools and utilities:
These classes provide the types and specification of how to perform the random walk, how to calculate the loglikelihood function as well as the figures of merit for quantum states, with the quantum states and POVM effects stored explicitly as matrices (either directly, or via a X Parameterization or T Parameterization). Classes relating to this implementation are located in the Tomographer::DenseDM namespace.
Currently, this is the only concrete implementation of our tomography method. In the future, one could imagine extensions to other implementations, such as directly performing the random walk in the X-parameterization space.
The tomorun
program is simply a straightforward piecing together of the different components detailed above. Most of the work is already done by the classes in Tomographer::MHRWTasks::ValueHistogramTasks.
The tomorun
code is not included in this API documentation. The code is located under "cxx/tomorun/"
. If you wish to change functionality in tomorun
, or if you wish to implement a very particular calculation, you might like to have a look at the test example "cxx/test/minimal_tomorun.cxx"
, which provides a very minimal implementation of tomorun for a specific example—it may be more convenient for you to modify that program.
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