HABQT

Hierarchical adaptive Bayesian quantum tomography for quantum bits

https://github.com/Belinsky-L-V/HABQT#readme

Latest on Hackage:0.1.0.0

This package is not currently in any snapshots. If you're interested in using it, we recommend adding it to Stackage Nightly. Doing so will make builds more reliable, and allow stackage.org to host generated Haddocks.

BSD-3-Clause licensed by Leonid Belinsky
Maintained by [email protected]

Extends adaptive Bayesian quantum tomography as described in https://doi.org/10.1103/PhysRevA.85.052120 by using a hierarchical distribution over density matrices of all possible ranks.

Includes:

  • a Haskell library

  • a shared library which provides a C interface to the tomography function

  • an executable that simulates tomography of random states and outputs infidelity between true states and mean Bayesian estimates to a file

Please refer to HABQT-simulation --help for executable usage instructions, README on Github for installation instructions and shared library C ABI description, accompanying Haddock documentation for Haskell API.