Ab initio phase estimation at the shot noise limit with on–off measurement
Abstract Phase resolution at the shot noise limit can be achieved with coherent states and on–off measurement. However, the estimation of an unknown phase using this scheme is still missing. Here, we experimentally demonstrate an ab initio phase estimation at the shot noise limit using on–off measur...
Ausführliche Beschreibung
Autor*in: |
Zheng, Kaimin [verfasserIn] Xu, Huichao [verfasserIn] Zhang, Aonan [verfasserIn] Ning, Xinghai [verfasserIn] Zhang, Lijian [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Quantum information processing - Dordrecht : Springer Science + Business Media B.V., 2002, 18(2019), 11 vom: 09. Sept. |
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Übergeordnetes Werk: |
volume:18 ; year:2019 ; number:11 ; day:09 ; month:09 |
Links: |
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DOI / URN: |
10.1007/s11128-019-2450-z |
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Katalog-ID: |
SPR016928490 |
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520 | |a Abstract Phase resolution at the shot noise limit can be achieved with coherent states and on–off measurement. However, the estimation of an unknown phase using this scheme is still missing. Here, we experimentally demonstrate an ab initio phase estimation at the shot noise limit using on–off measurement and efficient Bayesian inference algorithm. The performance of the schemes with and without real-time feedback control is compared. The scheme with feedback control eliminates the ambiguity in the phase estimation and accelerates the convergence to true value. The shot noise limit that defines the ultimate precision is saturated independent of the true phase after about 150 rounds of measurement and feedback control. Our protocol may find important applications in practical precision metrology when only a limited number of measurements are allowed. | ||
650 | 4 | |a Quantum metrology |7 (dpeaa)DE-He213 | |
650 | 4 | |a Cramér–Rao bound |7 (dpeaa)DE-He213 | |
650 | 4 | |a Shot noise limit |7 (dpeaa)DE-He213 | |
650 | 4 | |a On–off measurement |7 (dpeaa)DE-He213 | |
650 | 4 | |a Bayesian inference |7 (dpeaa)DE-He213 | |
650 | 4 | |a Real-time feedback |7 (dpeaa)DE-He213 | |
700 | 1 | |a Xu, Huichao |e verfasserin |4 aut | |
700 | 1 | |a Zhang, Aonan |e verfasserin |4 aut | |
700 | 1 | |a Ning, Xinghai |e verfasserin |4 aut | |
700 | 1 | |a Zhang, Lijian |e verfasserin |4 aut | |
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10.1007/s11128-019-2450-z doi (DE-627)SPR016928490 (SPR)s11128-019-2450-z-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl 33.23 bkl Zheng, Kaimin verfasserin aut Ab initio phase estimation at the shot noise limit with on–off measurement 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Phase resolution at the shot noise limit can be achieved with coherent states and on–off measurement. However, the estimation of an unknown phase using this scheme is still missing. Here, we experimentally demonstrate an ab initio phase estimation at the shot noise limit using on–off measurement and efficient Bayesian inference algorithm. The performance of the schemes with and without real-time feedback control is compared. The scheme with feedback control eliminates the ambiguity in the phase estimation and accelerates the convergence to true value. The shot noise limit that defines the ultimate precision is saturated independent of the true phase after about 150 rounds of measurement and feedback control. Our protocol may find important applications in practical precision metrology when only a limited number of measurements are allowed. Quantum metrology (dpeaa)DE-He213 Cramér–Rao bound (dpeaa)DE-He213 Shot noise limit (dpeaa)DE-He213 On–off measurement (dpeaa)DE-He213 Bayesian inference (dpeaa)DE-He213 Real-time feedback (dpeaa)DE-He213 Xu, Huichao verfasserin aut Zhang, Aonan verfasserin aut Ning, Xinghai verfasserin aut Zhang, Lijian verfasserin aut Enthalten in Quantum information processing Dordrecht : Springer Science + Business Media B.V., 2002 18(2019), 11 vom: 09. Sept. (DE-627)354193031 (DE-600)2088114-9 1573-1332 nnns volume:18 year:2019 number:11 day:09 month:09 https://dx.doi.org/10.1007/s11128-019-2450-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 ASE 33.23 ASE AR 18 2019 11 09 09 |
spelling |
10.1007/s11128-019-2450-z doi (DE-627)SPR016928490 (SPR)s11128-019-2450-z-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl 33.23 bkl Zheng, Kaimin verfasserin aut Ab initio phase estimation at the shot noise limit with on–off measurement 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Phase resolution at the shot noise limit can be achieved with coherent states and on–off measurement. However, the estimation of an unknown phase using this scheme is still missing. Here, we experimentally demonstrate an ab initio phase estimation at the shot noise limit using on–off measurement and efficient Bayesian inference algorithm. The performance of the schemes with and without real-time feedback control is compared. The scheme with feedback control eliminates the ambiguity in the phase estimation and accelerates the convergence to true value. The shot noise limit that defines the ultimate precision is saturated independent of the true phase after about 150 rounds of measurement and feedback control. Our protocol may find important applications in practical precision metrology when only a limited number of measurements are allowed. Quantum metrology (dpeaa)DE-He213 Cramér–Rao bound (dpeaa)DE-He213 Shot noise limit (dpeaa)DE-He213 On–off measurement (dpeaa)DE-He213 Bayesian inference (dpeaa)DE-He213 Real-time feedback (dpeaa)DE-He213 Xu, Huichao verfasserin aut Zhang, Aonan verfasserin aut Ning, Xinghai verfasserin aut Zhang, Lijian verfasserin aut Enthalten in Quantum information processing Dordrecht : Springer Science + Business Media B.V., 2002 18(2019), 11 vom: 09. Sept. (DE-627)354193031 (DE-600)2088114-9 1573-1332 nnns volume:18 year:2019 number:11 day:09 month:09 https://dx.doi.org/10.1007/s11128-019-2450-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 ASE 33.23 ASE AR 18 2019 11 09 09 |
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10.1007/s11128-019-2450-z doi (DE-627)SPR016928490 (SPR)s11128-019-2450-z-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl 33.23 bkl Zheng, Kaimin verfasserin aut Ab initio phase estimation at the shot noise limit with on–off measurement 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Phase resolution at the shot noise limit can be achieved with coherent states and on–off measurement. However, the estimation of an unknown phase using this scheme is still missing. Here, we experimentally demonstrate an ab initio phase estimation at the shot noise limit using on–off measurement and efficient Bayesian inference algorithm. The performance of the schemes with and without real-time feedback control is compared. The scheme with feedback control eliminates the ambiguity in the phase estimation and accelerates the convergence to true value. The shot noise limit that defines the ultimate precision is saturated independent of the true phase after about 150 rounds of measurement and feedback control. Our protocol may find important applications in practical precision metrology when only a limited number of measurements are allowed. Quantum metrology (dpeaa)DE-He213 Cramér–Rao bound (dpeaa)DE-He213 Shot noise limit (dpeaa)DE-He213 On–off measurement (dpeaa)DE-He213 Bayesian inference (dpeaa)DE-He213 Real-time feedback (dpeaa)DE-He213 Xu, Huichao verfasserin aut Zhang, Aonan verfasserin aut Ning, Xinghai verfasserin aut Zhang, Lijian verfasserin aut Enthalten in Quantum information processing Dordrecht : Springer Science + Business Media B.V., 2002 18(2019), 11 vom: 09. Sept. (DE-627)354193031 (DE-600)2088114-9 1573-1332 nnns volume:18 year:2019 number:11 day:09 month:09 https://dx.doi.org/10.1007/s11128-019-2450-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 ASE 33.23 ASE AR 18 2019 11 09 09 |
allfieldsGer |
10.1007/s11128-019-2450-z doi (DE-627)SPR016928490 (SPR)s11128-019-2450-z-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl 33.23 bkl Zheng, Kaimin verfasserin aut Ab initio phase estimation at the shot noise limit with on–off measurement 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Phase resolution at the shot noise limit can be achieved with coherent states and on–off measurement. However, the estimation of an unknown phase using this scheme is still missing. Here, we experimentally demonstrate an ab initio phase estimation at the shot noise limit using on–off measurement and efficient Bayesian inference algorithm. The performance of the schemes with and without real-time feedback control is compared. The scheme with feedback control eliminates the ambiguity in the phase estimation and accelerates the convergence to true value. The shot noise limit that defines the ultimate precision is saturated independent of the true phase after about 150 rounds of measurement and feedback control. Our protocol may find important applications in practical precision metrology when only a limited number of measurements are allowed. Quantum metrology (dpeaa)DE-He213 Cramér–Rao bound (dpeaa)DE-He213 Shot noise limit (dpeaa)DE-He213 On–off measurement (dpeaa)DE-He213 Bayesian inference (dpeaa)DE-He213 Real-time feedback (dpeaa)DE-He213 Xu, Huichao verfasserin aut Zhang, Aonan verfasserin aut Ning, Xinghai verfasserin aut Zhang, Lijian verfasserin aut Enthalten in Quantum information processing Dordrecht : Springer Science + Business Media B.V., 2002 18(2019), 11 vom: 09. Sept. (DE-627)354193031 (DE-600)2088114-9 1573-1332 nnns volume:18 year:2019 number:11 day:09 month:09 https://dx.doi.org/10.1007/s11128-019-2450-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 ASE 33.23 ASE AR 18 2019 11 09 09 |
allfieldsSound |
10.1007/s11128-019-2450-z doi (DE-627)SPR016928490 (SPR)s11128-019-2450-z-e DE-627 ger DE-627 rakwb eng 004 ASE 54.00 bkl 33.23 bkl Zheng, Kaimin verfasserin aut Ab initio phase estimation at the shot noise limit with on–off measurement 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Phase resolution at the shot noise limit can be achieved with coherent states and on–off measurement. However, the estimation of an unknown phase using this scheme is still missing. Here, we experimentally demonstrate an ab initio phase estimation at the shot noise limit using on–off measurement and efficient Bayesian inference algorithm. The performance of the schemes with and without real-time feedback control is compared. The scheme with feedback control eliminates the ambiguity in the phase estimation and accelerates the convergence to true value. The shot noise limit that defines the ultimate precision is saturated independent of the true phase after about 150 rounds of measurement and feedback control. Our protocol may find important applications in practical precision metrology when only a limited number of measurements are allowed. Quantum metrology (dpeaa)DE-He213 Cramér–Rao bound (dpeaa)DE-He213 Shot noise limit (dpeaa)DE-He213 On–off measurement (dpeaa)DE-He213 Bayesian inference (dpeaa)DE-He213 Real-time feedback (dpeaa)DE-He213 Xu, Huichao verfasserin aut Zhang, Aonan verfasserin aut Ning, Xinghai verfasserin aut Zhang, Lijian verfasserin aut Enthalten in Quantum information processing Dordrecht : Springer Science + Business Media B.V., 2002 18(2019), 11 vom: 09. Sept. (DE-627)354193031 (DE-600)2088114-9 1573-1332 nnns volume:18 year:2019 number:11 day:09 month:09 https://dx.doi.org/10.1007/s11128-019-2450-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.00 ASE 33.23 ASE AR 18 2019 11 09 09 |
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Enthalten in Quantum information processing 18(2019), 11 vom: 09. Sept. volume:18 year:2019 number:11 day:09 month:09 |
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Quantum metrology Cramér–Rao bound Shot noise limit On–off measurement Bayesian inference Real-time feedback |
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Quantum information processing |
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Zheng, Kaimin @@aut@@ Xu, Huichao @@aut@@ Zhang, Aonan @@aut@@ Ning, Xinghai @@aut@@ Zhang, Lijian @@aut@@ |
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2019-09-09T00:00:00Z |
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Zheng, Kaimin |
spellingShingle |
Zheng, Kaimin ddc 004 bkl 54.00 bkl 33.23 misc Quantum metrology misc Cramér–Rao bound misc Shot noise limit misc On–off measurement misc Bayesian inference misc Real-time feedback Ab initio phase estimation at the shot noise limit with on–off measurement |
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004 ASE 54.00 bkl 33.23 bkl Ab initio phase estimation at the shot noise limit with on–off measurement Quantum metrology (dpeaa)DE-He213 Cramér–Rao bound (dpeaa)DE-He213 Shot noise limit (dpeaa)DE-He213 On–off measurement (dpeaa)DE-He213 Bayesian inference (dpeaa)DE-He213 Real-time feedback (dpeaa)DE-He213 |
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ddc 004 bkl 54.00 bkl 33.23 misc Quantum metrology misc Cramér–Rao bound misc Shot noise limit misc On–off measurement misc Bayesian inference misc Real-time feedback |
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Ab initio phase estimation at the shot noise limit with on–off measurement |
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Ab initio phase estimation at the shot noise limit with on–off measurement |
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ab initio phase estimation at the shot noise limit with on–off measurement |
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Ab initio phase estimation at the shot noise limit with on–off measurement |
abstract |
Abstract Phase resolution at the shot noise limit can be achieved with coherent states and on–off measurement. However, the estimation of an unknown phase using this scheme is still missing. Here, we experimentally demonstrate an ab initio phase estimation at the shot noise limit using on–off measurement and efficient Bayesian inference algorithm. The performance of the schemes with and without real-time feedback control is compared. The scheme with feedback control eliminates the ambiguity in the phase estimation and accelerates the convergence to true value. The shot noise limit that defines the ultimate precision is saturated independent of the true phase after about 150 rounds of measurement and feedback control. Our protocol may find important applications in practical precision metrology when only a limited number of measurements are allowed. |
abstractGer |
Abstract Phase resolution at the shot noise limit can be achieved with coherent states and on–off measurement. However, the estimation of an unknown phase using this scheme is still missing. Here, we experimentally demonstrate an ab initio phase estimation at the shot noise limit using on–off measurement and efficient Bayesian inference algorithm. The performance of the schemes with and without real-time feedback control is compared. The scheme with feedback control eliminates the ambiguity in the phase estimation and accelerates the convergence to true value. The shot noise limit that defines the ultimate precision is saturated independent of the true phase after about 150 rounds of measurement and feedback control. Our protocol may find important applications in practical precision metrology when only a limited number of measurements are allowed. |
abstract_unstemmed |
Abstract Phase resolution at the shot noise limit can be achieved with coherent states and on–off measurement. However, the estimation of an unknown phase using this scheme is still missing. Here, we experimentally demonstrate an ab initio phase estimation at the shot noise limit using on–off measurement and efficient Bayesian inference algorithm. The performance of the schemes with and without real-time feedback control is compared. The scheme with feedback control eliminates the ambiguity in the phase estimation and accelerates the convergence to true value. The shot noise limit that defines the ultimate precision is saturated independent of the true phase after about 150 rounds of measurement and feedback control. Our protocol may find important applications in practical precision metrology when only a limited number of measurements are allowed. |
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container_issue |
11 |
title_short |
Ab initio phase estimation at the shot noise limit with on–off measurement |
url |
https://dx.doi.org/10.1007/s11128-019-2450-z |
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author2 |
Xu, Huichao Zhang, Aonan Ning, Xinghai Zhang, Lijian |
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Xu, Huichao Zhang, Aonan Ning, Xinghai Zhang, Lijian |
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354193031 |
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doi_str |
10.1007/s11128-019-2450-z |
up_date |
2024-07-04T01:28:48.728Z |
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score |
7.4011087 |