Abstract
We show an optical heterodyne spectrometer with picometer resolution and high sensitivity. Moreover, we report the quantum limit of detecting multi-mode light using heterodyne detection, and compare it to a typical down conversion source output.
| Original language | English |
|---|---|
| Title of host publication | Quantum 2.0, QUANTUM 2022 |
| Publisher | Optica Publishing Group (formerly OSA) |
| ISBN (Electronic) | 9781957171111 |
| State | Published - 2022 |
| Event | Quantum 2.0, QUANTUM 2022 - Boston, United States Duration: Jun 13 2022 → Jun 16 2022 |
Publication series
| Name | Optics InfoBase Conference Papers |
|---|---|
| ISSN (Electronic) | 2162-2701 |
Conference
| Conference | Quantum 2.0, QUANTUM 2022 |
|---|---|
| Country/Territory | United States |
| City | Boston |
| Period | 06/13/22 → 06/16/22 |
Funding
This manuscript has been co-authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). The authors acknowledge Bing Qi for his advice on accurately counting spectral-temporal modes. This work was performed at Oak Ridge National Laboratory, operated by UT-Battelle for the U.S. Department of Energy under contract no. DE-AC05-00OR22725. Funding was provided by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, through the Transparent Optical Quantum Networks for Distributed Science Program (Field Work Proposal ERKJ355).
| Funders | Funder number |
|---|---|
| Transparent Optical Quantum Networks for Distributed Science Program | ERKJ355 |
| U.S. Department of Energy | DE-AC05-00OR22725 |
| Office of Science | |
| Advanced Scientific Computing Research | |
| Oak Ridge National Laboratory | |
| UT-Battelle |