Local mapping of detector response for reliable quantum state estimation.
Local mapping of detector response for reliable quantum state estimation.
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DOI:
10.1038/ncomms5332
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发表时间:
2014-07-14
影响因子:
16.6
通讯作者:
Smith, Brian J.
中科院分区:
文献类型:
--
作者:
Cooper, Merlin;Karpinski, Michal;Smith, Brian J.
Improved measurement techniques are central to technological development and foundational scientific exploration. Quantum physics relies on detectors sensitive to non-classical features of systems, enabling precise tests of physical laws and quantum-enhanced technologies including precision measurement and secure communications. Accurate detector response calibration for quantum-scale inputs is key to future research and development in these cognate areas. To address this requirement, quantum detector tomography has been recently introduced. However, this technique becomes increasingly challenging as the complexity of the detector response and input space grow in a number of measurement outcomes and required probe states, leading to further demands on experiments and data analysis. Here we present an experimental implementation of a versatile, alternative characterization technique to address many-outcome quantum detectors that limits the input calibration region and does not involve numerical post processing. To demonstrate the applicability of this approach, the calibrated detector is subsequently used to estimate non-classical photon number states. The successful realization of quantum information protocols relies on characterization of quantum states and measurements. Here, Cooper et al. experimentally demonstrate a technique enabling calibration of a detector with a sizeable number of outcomes using a limited amount of resources.
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影响因子:
2.9
作者:
Banaszek, K;D'Ariano, GM;Sacchi, MF
通讯作者:
Sacchi, MF
影响因子:
8.6
作者:
Brida, G.;Ciavarella, L.;Polyakov, S. V.
通讯作者:
Polyakov, S. V.
影响因子:
1.3
作者:
Chuang, IL;Nielsen, MA
通讯作者:
Nielsen, MA
DOI:
10.1088/1464-4266/6/6/014
发表时间:
2004-06-01
期刊:
JOURNAL OF OPTICS B-QUANTUM AND SEMICLASSICAL OPTICS
影响因子:
--
作者:
Lvovsky, AI
通讯作者:
Lvovsky, AI
影响因子:
8.6
作者:
Amri, Taoufik;Laurat, Julien;Fabre, Claude
通讯作者:
Fabre, Claude