Abstract
Summary form only given. Strong light-matter coupling has been recently successfully explored in the GHz and THz [1] range with on-chip platforms. New and intriguing quantum optical phenomena have been predicted in the ultrastrong coupling regime [2], when the coupling strength Ω becomes comparable to the unperturbed frequency of the system ω. We recently proposed a new experimental platform where we couple the inter-Landau level transition of an high-mobility 2DEG to the highly subwavelength photonic mode of an LC meta-atom [3] showing very large Ω/ωc = 0.87. Our system benefits from the collective enhancement of the light-matter coupling which comes from the scaling of the coupling Ω ∝ √n, were n is the number of optically active electrons. In our previous experiments [3] and in literature [4] this number varies from 104-103 electrons per meta-atom. We now engineer a new cavity, resonant at 290 GHz, with an extremely reduced effective mode surface Seff = 4 × 10-14 m2 (FE simulations, CST), yielding large field enhancements above 1500 and allowing to enter the few (
Original language | English |
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Title of host publication | 2017 International Conference on Computing, Networking and Communications, ICNC 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 504-510 |
Number of pages | 7 |
ISBN (Print) | 9781509045884 |
DOIs | |
Publication status | Published - 13 Mar 2017 |
Event | International Conference on Computing, Networking and Communication - Silicon Valley, United States Duration: 26 Jan 2017 → 29 Jan 2017 http://www.conf-icnc.org/2017/ |
Publication series
Name | 2017 International Conference on Computing, Networking and Communications, ICNC 2017 |
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Conference
Conference | International Conference on Computing, Networking and Communication |
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Abbreviated title | ICNC 2017 |
Country/Territory | United States |
City | Silicon Valley |
Period | 26/01/17 → 29/01/17 |
Internet address |
Keywords
- behavior analysis
- edge mining
- fog computing
- virtual fence
- wireless sensor networks