Sending report ...Nanoelectronics and the Meaning of Resistance
Lecture 5A: Correlations and Entanglement
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- Podcast (video) What's this? (MP4, 225.03 Mb)
- Podcast (audio) What's this? (MP3, 31.43 Mb)
- Lecture Handout (PDF, 1.29 Mb)
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| Contributor(s) | Supriyo Datta Purdue University, West Lafayette |
|---|---|
| Abstract | Objective: To relate the one-electron picture used throughout these lectures to the more general but less tractable many-particle picture that underlies it. We introduce this new viewpoint using the example of Coulomb blockaded electronic devices that are difficult to model within the picture developed so far, but can be understood fairly simply in terms of a many-electron picture. This picture is then used to introduce the concept of entangled states possible approaches to extending the NEGF-Landauer framework from Lectures 1 through 4 to model correlations and entanglements. The overall message is that while there has been enormous progress in our understanding in the last twenty years and the resulting NEGF-Landauer approach provides a powerful framework for a wide variety of problems. But the approach has its limitations and there are important conceptual issues that have to be resolved to take transport theory to its next level.
This lecture is in video format only. This is part 1 of 2. |
| Sponsored by | NCN@Purdue Summer School 2008 National Science Fondation Intel Corporation |
| Cite this work | If you reference this work in a publication, please cite as follows: |
| Date posted | 20 Aug, 2008 |
| Time | 09:30 AM, July 18, 2008 |
| Location | Purdue University, West Lafayette, IN |
| Type | Online Presentations |
| Tags |
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Part of: Nanoelectronics and the Meaning of Resistance
Nanoelectronics and the Meaning of Resistance
Type Courses Contributor(s) Supriyo Datta Date 20 Aug, 2008 Avg. Rating (6) Rate this The purpose of this series of lectures is to introduce the "bottom-up" approach to nanoelectronics using concrete examples. No prior knowledge of quantum mechanics or statistical mechanics is assumed; however, familiarity with matrix algebra will be helpful for some topics.
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