Lupo, Cosmo (2008) On the robustness of holonomic quantum computation. [Tesi di dottorato] (Unpublished)
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| Item Type: | Tesi di dottorato |
|---|---|
| Resource language: | English |
| Title: | On the robustness of holonomic quantum computation |
| Creators: | Creators Email Lupo, Cosmo UNSPECIFIED |
| Date: | 2008 |
| Date type: | Publication |
| Number of Pages: | 111 |
| Institution: | Università degli Studi di Napoli Federico II |
| Department: | Scienze fisiche |
| Dottorato: | Fisica fondamentale ed applicata |
| Ciclo di dottorato: | 20 |
| Coordinatore del Corso di dottorato: | nome email Miele, Gennaro UNSPECIFIED |
| Tutor: | nome email Marmo, Giuseppe UNSPECIFIED |
| Date: | 2008 |
| Number of Pages: | 111 |
| Keywords: | Computazione quantistica; Robustezza |
| Settori scientifico-disciplinari del MIUR: | Area 02 - Scienze fisiche > FIS/02 - Fisica teorica, modelli e metodi matematici |
| Date Deposited: | 20 May 2008 |
| Last Modified: | 30 Apr 2014 19:27 |
| URI: | http://www.fedoa.unina.it/id/eprint/1789 |
| DOI: | 10.6092/UNINA/FEDOA/1789 |
Collection description
Besides standard dynamical schemes to realize a quantum computer, there are particular approaches which are based on intrinsic properties of quantum systems, leading to the definition of topological computation and holonomic, or geometric, computation. The holonomic approach can be viewed as the application of non-Abelian geometric phases to quantum information processing, it is believed to be fault-tolerant with respect of certain kind of parametric noise. Here we discuss the issue of robustness of holonomic quantum gates under parametric noise: we distinguish between geometric and dynamical effects of cancelation, which can appear in different contexts. A so-called standard argument in favor of the stability of noisy holonomic quantum gates is reviewed and extended to more general settings. New geometric effects that describe the behavior of noisy holonomic gates are presented. These effects lead to a refining of the optimal strategy to achieve a robust computation.
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