Journal article
Simplified quantum process tomography
- Abstract:
- We propose and evaluate experimentally an approach to quantum process tomography that completely removes the scaling problem plaguing the standard approach. The key to this simplification is the incorporation of prior knowledge of the class of physical interactions involved in generating the dynamics, which reduces the problem to one of parameter estimation. This allows part of the problem to be tackled using efficient convex methods, which, when coupled with a constraint on some parameters, allows globally optimal estimates for the Krauss operators to be determined from experimental data. Parameterizing the maps provides further advantages: it allows the incorporation of mixed states of the environment, both of which are common physical situations following excitation of the system away from thermal equilibrium. Although the approach is not universal, in cases where it is valid it returns a complete set of positive maps for the dynamical evolution of a quantum system at all times.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Version of record, bin, 1.1MB, Terms of use)
-
- Publisher copy:
- 10.1088/1367-2630/11/11/115010
Authors
- Publisher:
- IOP Publishing Ltd
- Journal:
- New Journal of Physics More from this journal
- Volume:
- 11
- Article number:
- 115010
- Publication date:
- 2009-11-01
- Edition:
- Publisher's version
- DOI:
- Language:
-
English
- Keywords:
- Subjects:
- UUID:
-
uuid:c6ac5477-e74e-43a2-a8ed-7385ffbf237d
- Local pid:
-
ora:3258
- Deposit date:
-
2010-01-22
- ARK identifier:
Terms of use
- Copyright holder:
- IOP Publishing Ltd and Deutsche Physikalische Gesellschaft
- Copyright date:
- 2009
- Notes:
- Citation: Branderhorst, M. P. A. et al. (2009). 'Simplified quantum process tomography', New Journal of Physics, 11, 115010. [Available at http://www.njp.org]. This is an Open Access article published under the terms of the Creative Commons Attribution-Non-Commercial-Share Alike 2.5 licence (http://creativecommons.org/licenses/by-nc-sa/2.5/deed.en_GB). This licence permits third-party users to copy, distribute and display the published version of the article, and create derivative works, subject to appropriate acknowledgement of the original authors, and provided the article is not used for commercial purposes. If you alter, transform, or build upon this work, you may distribute the resulting work only under a licence identical to this one. For any reuse or distribution, you must make clear to others the licence terms of this work.
If you are the owner of this record, you can report an update to it here: Report update to this record