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The Japan Society of Applied Physics

Realization of adaptive quantum state estimation for dynamic quantum states

Saki Nohara, Ryo Okamoto, Akio Fujiwara, Shigeki Takeuchi

Published Jul 10, 2019• 0 citations
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Accurate estimation of unknown quantum states using limited number of samples is very important but difficult task using fixed measurement basis states since the best local unbiased estimator (LUE) for estimating the parameter depends, in general, on the unknown parameter itself. In order to solve this problem, Nagaoka advocated an adaptive quantum state estimation (AQSE) procedure. Later, Fujiwara proved the strong consistency and asymptotic efficiency for AQSE. AQSE has been demonstrated by us for the linear polarizations of photons, and recently for a single polarization qubit. However, in order to apply AQSE to actual measurement including application to life science, we need to improve the speed of the system which is limited by the response time of the mechanical rotation stage used in the previous experiment [Phys. Rev. Lett. 109, 130404 (2012)]. To solve this problem, we realized high-speed AQSE experiment using liquid crystal retarder (LCR). We demonstrate the adaptive quantum state estimation using a LCR instead of a half wave plate on a mechanical rotator in previous research. We realized a substantial speed-up of estimation time, keeping the accuracy of estimation at the same level. In fact, it took 0.40 second per photon in the previous study, whereas 0.073 second per photon in the present. Specifically, the time to determine the polarization measurement basis was greatly decreased, from 0.34 second per photon in the previous study to 0.010 second per photon in the present.

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Accurate estimation of unknown quantum states using limited number of samples is very important but difficult task using fixed measurement basis states since the best local unbiased estimator (LUE) for estimating the parameter depends, in general, on the unknown parameter itself. In order to solve this problem, Nagaoka advocated an adaptive quantum state estimation (AQSE) procedure [1], where the measurement basis states are adaptively selected for each measurement result. Fujiwara proved the strong consistency and asymptotic efficiency for AQSE [2]. Recently, AQSE has been demonstrated by us for the linear polarizations of photons [3]. However, AQSE was designed for a static quantum state, and was not applicable to dynamic states where quantum states change in time. Here, we propose a new protocol, sequential adaptive quantum state estimation (SAQSE) for dynamic quantum states. Our numerical simulation (shown below) clearly show that the estimated value given by SAQSE can follow the true value changing in time whereas AQSE fails. We believe this new protocol will open up the use of quantum state estimation for various applications including biology, e.g. monitoring the motion of fluorescent molecules.

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Abstract Adaptive quantum state estimation (AQSE) provides the best possible estimation of unknown parameters of quantum states. In implementations of AQSE, half wave plates (HWPs) driven by mechanical rotators are used to change the measurement basis, but these significantly limit the overall speed of the system. Here we report an AQSE system using a liquid crystal retarder (LCR). With precise calibration, the phase accuracy of an LCR can be below 3.6 × 10 −3 radians and as low as 1.2 × 10 −3 radians. Using an LCR, the time required to change the measurement basis is approximately 30 times smaller than for a system using an HWP, and the total time of AQSE is reduced by a factor of 5.

Japanese Journal of Applied Physics•May 15, 2019•1 citation
Accurate estimation of unknown quantum states using limited number of samples is very important but difficult task using fixed measurement basis states since the best local unbiased estimator (LUE) for estimating the parameter depends, in general, on the unknown parameter itself. In order to solve this problem, Nagaoka advocated an adaptive quantum state estimation (AQSE) procedure. Later, Fujiwara proved the strong consistency and asymptotic efficiency for AQSE. AQSE has been demonstrated by us for the linear polarizations of photons, and recently for a single polarization qubit. However, in order to apply AQSE to actual measurement including application to life science, we need to improve the speed of the system which is limited by the response time of the mechanical rotation stage used in the previous experiment [Phys. Rev. Lett. 109, 130404 (2012)]. To solve this problem, we realized high-speed AQSE experiment using liquid crystal retarder (LCR). We demonstrate the adaptive quantum state estimation using a LCR instead of a half wave plate on a mechanical rotator in previous research. We realized a substantial speed-up of estimation time, keeping the accuracy of estimation at the same level. In fact, it took 0.40 second per photon in the previous study, whereas 0.073 second per photon in the present. Specifically, the time to determine the polarization measurement basis was greatly decreased, from 0.34 second per photon in the previous study to 0.010 second per photon in the present.
Accurate estimation of unknown quantum states using limited number of samples is very important but difficult task using fixed measurement basis states since the best local unbiased estimator (LUE) for estimating the parameter depends, in general, on the unknown parameter itself. In order to solve this problem, Nagaoka advocated an adaptive quantum state estimation (AQSE) procedure [1], where the measurement basis states are adaptively selected for each measurement result. Fujiwara proved the strong consistency and asymptotic efficiency for AQSE [2]. Recently, AQSE has been demonstrated by us for the linear polarizations of photons [3]. However, AQSE was designed for a static quantum state, and was not applicable to dynamic states where quantum states change in time. Here, we propose a new protocol, sequential adaptive quantum state estimation (SAQSE) for dynamic quantum states. Our numerical simulation (shown below) clearly show that the estimated value given by SAQSE can follow the true value changing in time whereas AQSE fails. We believe this new protocol will open up the use of quantum state estimation for various applications including biology, e.g. monitoring the motion of fluorescent molecules.
Abstract Adaptive quantum state estimation (AQSE) provides the best possible estimation of unknown parameters of quantum states. In implementations of AQSE, half wave plates (HWPs) driven by mechanical rotators are used to change the measurement basis, but these significantly limit the overall speed of the system. Here we report an AQSE system using a liquid crystal retarder (LCR). With precise calibration, the phase accuracy of an LCR can be below 3.6 × 10 −3 radians and as low as 1.2 × 10 −3 radians. Using an LCR, the time required to change the measurement basis is approximately 30 times smaller than for a system using an HWP, and the total time of AQSE is reduced by a factor of 5.