| Paper Abstract and Keywords |
| Presentation |
2022-12-08 14:00
[Poster Presentation]
Improvement of Squeezing using a Spatial Light Modulator controlled by Machine Learning
Amari Jorge (Gakushuin Univ.), Takai Junnosuke (Gakushuin Univ), Hirano Takuya (Gakushuin Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Squeezed light is a key resource for many quantum information processing tasks. Among various methods for generating squeezed light, single-pass parametric amplification provides a variety of advantages, such as broad bandwidth, compactness, and stability. Moreover, by using pulsed light to generate squeezed light, one pulse can be regarded as one mode, which makes it easy to perform time-domain information processing. The highest squeezing of 5.0 dB was reported for squeezed light generated by the combination of pulsed light and optical waveguide [1]. The challenge in achieving high-level pulsed squeezing has been to improve detection efficiency. In this study, we used a spatial light modulator (SLM) controlled by machine learning to improve the spatial mode matching between the squeezed light and the local oscillator (LO). As a result, we have achieved pulsed squeezing of 5.88 dB. To the best of our knowledge, this is the highest pulsed squeezing, which updates the squeezing record of 5.8dB reported by Kim et al. 27 years ago [2]. This achievement will lead to compact and efficient quantum information technology. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Squeezed light / SLM / Machine learning / / / / / |
| Reference Info. |
IEICE Tech. Rep. |
| Paper # |
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| Download PDF |
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| Conference Information |
| Committee |
QIT |
| Conference Date |
2022-12-08 - 2022-12-09 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Keio Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Quantum Information |
| Paper Information |
| Registration To |
QIT |
| Conference Code |
2022-12-QIT |
| Language |
English (Japanese title is available) |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Improvement of Squeezing using a Spatial Light Modulator controlled by Machine Learning |
| Sub Title (in English) |
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| Keyword(1) |
Squeezed light |
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SLM |
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Machine learning |
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| 1st Author's Name |
Amari Jorge |
| 1st Author's Affiliation |
Gakushuin Universtiy (Gakushuin Univ.) |
| 2nd Author's Name |
Takai Junnosuke |
| 2nd Author's Affiliation |
Gakushuin University (Gakushuin Univ) |
| 3rd Author's Name |
Hirano Takuya |
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Gakushuin Universtiy (Gakushuin Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2022-12-08 14:00:00 |
| Presentation Time |
60 minutes |
| Registration for |
QIT |
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vol. |
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