README.md

Documentation

This is the documentation of MATLAB library for the benchmarking of quantum tomography (QT) methods. Installation instructions and basic examples are given at the home page.

Table of contents

• Getting started
• Tests specification
• Main functions
  • qtb_startup - prepares library
  • qtb_config - returns library configuration
  • qtb_analyze - performs analyzes of a QT method
  • qtb_report - reports benchmarks of the QT method
  • qtb_compare - compares QT methods benchmarks
  • qtb_tests - returns a set of all available tests
• Utils
  • qtb_result - analysis results class
  • qtb_debug - performs a single run of QT method
  • qtb_state - generates a random quantum state
  • qtb_proto - generates a measurement protocol
  • qtb_plot - plots statistical data
  • qtb_stats - functions to work with statistics
  • qtb_tools - additional tools
• Helpers
  • static_proto - generates protocol handler for static (non-adaptive) protocols
  • iterative_proto - generates protocol handler for iterative protocols
  • qn_state_analyze - wrapper for qubit state tomography analysis
• QT methods*
  • Protocols
    • proto_fmub - factorized mutually unbiased bases measurements
    • proto_pauli - Pauli measurements of qubits
    • proto_mub - mutually unbiased bases measurements
    • proto_amub - adaptive mutually unbiased bases measurements
  • Estimators
    • est_ppi - projected pseudo-inversion estimator
    • est_frls - full rank least squares estimator
    • est_frml - full rank maximum likelihood estimator
    • est_trml - true rank maximum likelihood estimator
    • est_arml - adequate rank maximum likelihood estimator
    • est_cs - compressed sensing estimator

* Some other QT methods are not realized in MATLAB but presented in pyQTB library in Python.