HABQT: Hierarchical adaptive Bayesian quantum tomography for quantum bits
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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.
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Properties
Versions | 0.1.0.0, 0.1.0.0 |
---|---|
Change log | ChangeLog.md |
Dependencies | base (>=4.10 && <4.11), HABQT, hmatrix (>=0.18.2 && <0.19), hmatrix-gsl (>=0.18 && <0.20), mtl (>=2.2.2 && <2.3), mwc-random (>=0.13.6 && <0.14), newtype-generics (>=0.5.3 && <0.6), optparse-applicative (>=0.14.2 && <0.15), streaming (>=0.2.1 && <0.3), utility-ht (>=0.0.14 && <0.1), validation (>=1 && <1.1), vector (>=0.12.0 && <0.13) [details] |
License | BSD-3-Clause |
Copyright | Copyright (c) 2018 Leonid Belinsky |
Author | Leonid Belinsky |
Maintainer | belinsky.leonid@gmail.com |
Category | Math, Quantum |
Home page | https://github.com/Belinsky-L-V/HABQT#readme |
Bug tracker | https://github.com/Belinsky-L-V/HABQT/issues |
Source repo | head: git clone https://github.com/Belinsky-L-V/HABQT |
Uploaded | by LeonidBelinsky at 2018-07-01T18:11:22Z |
Modules
- HABQTlib
- HABQTlib.Data
- HABQTlib.Data.Particle
- HABQTlib.MeasurementProcessing
- HABQTlib.RandomStates
- HABQTlib.UnsafeAPI
- HABQTlib.Data
Downloads
- HABQT-0.1.0.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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