Random pure quantum states via unitary Brownian motion
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Random pure quantum states via unitary Brownian motion |
2. | Creator | Author's name, affiliation, country | Ion Nechita; CNRS, Université de Toulouse; France |
2. | Creator | Author's name, affiliation, country | Clément Pellegrini; Université de Toulouse; France |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | quantum states, unitary Brownian motion |
3. | Subject | Subject classification | 39A50; 81P45 |
4. | Description | Abstract | We introduce a new family of probability distributions on the set of pure states of a finite dimensional quantum system. Without any a priori assumptions, the most natural measure on the set of pure state is the uniform (or Haar) measure. Our family of measures is indexed by a time parameter $t$ and interpolates between a deterministic measure ($t=0$) and the uniform measure ($t=\infty$). The measures are constructed using a Brownian motion on the unitary group $\mathcal U_N$. Remarkably, these measures have a $\mathcal U_{N-1}$ invariance, whereas the usual uniform measure has a $\mathcal U_N$ invariance. We compute several averages with respect to these measures using as a tool the Laplace transform of the coordinates. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | ANR/CNRS |
7. | Date | (YYYY-MM-DD) | 2013-04-15 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ecp.ejpecp.org/article/view/2426 |
10. | Identifier | Digital Object Identifier | 10.1214/ECP.v18-2426 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Communications in Probability; Vol 18 |
12. | Language | English=en | en |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions | The Electronic Journal of Probability applies the Creative Commons Attribution License (CCAL) to all articles we publish in this journal. Under the CCAL, authors retain ownership of the copyright for their article, but authors allow anyone to download, reuse, reprint, modify, distribute, and/or copy articles published in EJP, so long as the original authors and source are credited. This broad license was developed to facilitate open access to, and free use of, original works of all types. Applying this standard license to your work will ensure your right to make your work freely and openly available. Summary of the Creative Commons Attribution License You are free
|