Paper Abstract and Keywords |
Presentation |
2016-05-30 13:00
[Poster Presentation]
High-Speed Adaptive Quantum State Estimation Saki Nohara, Ryo Okamoto (Kyoto Univ.), Koichi Yamagata (Chuo Univ.), Akio Fujiwara (Osaka Univ.), Shigeki Takeuchi (Kyoto Univ.) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
For the development of quantum information technology, it is essential to provide a method to efficiently estimate the quantum state (parameter). However, the optimal measurement for estimating an unknown parameter depends on the parameter itself. To surmount this problem, the adaptive quantum state estimation (AQSE) scheme was advocated. In AQSE, for each measurement, the value of parameter is estimated and then the measurement system is optimized for the estimated value. In this paper, we show our experiment of high-speed AQSE using liquid crystal retarder. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
optical phase measurement / adaptive quantum state estimation / / / / / / |
Reference Info. |
IEICE Tech. Rep. |
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Conference Information |
Committee |
QIT |
Conference Date |
2016-05-30 - 2016-05-31 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kochi University of Technology Eikokuji campus |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Quantum Information |
Paper Information |
Registration To |
QIT |
Conference Code |
2016-05-QIT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
High-Speed Adaptive Quantum State Estimation |
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optical phase measurement |
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adaptive quantum state estimation |
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1st Author's Name |
Saki Nohara |
1st Author's Affiliation |
Kyoto University (Kyoto Univ.) |
2nd Author's Name |
Ryo Okamoto |
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Kyoto University (Kyoto Univ.) |
3rd Author's Name |
Koichi Yamagata |
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Chuo University (Chuo Univ.) |
4th Author's Name |
Akio Fujiwara |
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Osaka University (Osaka Univ.) |
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Shigeki Takeuchi |
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Kyoto University (Kyoto Univ.) |
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Date Time |
2016-05-30 13:00:00 |
Presentation Time |
120 minutes |
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QIT |
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