Allen, Euan J.
(Quantum Engineering Technologies Labs, University of Bristol, BS8 1FD, United Kingdom)
,
Sabines-Chesterking, Javier
(Quantum Engineering Centre for Doctoral Training, H. H. Wills Physics Laboratory and Department of Electrical & Electronic Engineering, University of Bristol, BS8 1FD, United Kingdom)
,
Birchall, Patrick M.
(Quantum Engineering Technologies Labs, University of Bristol, BS8 1FD, United Kingdom)
,
McMillan, Alex
(Quantum Engineering Technologies Labs, University of Bristol, BS8 1FD, United Kingdom)
,
Joshi, Siddarth K.
(Quantum Engineering Technologies Labs, University of Bristol, BS8 1FD, United Kingdom)
,
Matthews, Jonathan C. F.
(Quantum Engineering Technologies Labs, University of Bristol, BS8 1FD, United Kingdom)
Optical quantum sensing strategies that utilise features of quantum states of light have implications for precision measurement in areas as wide ranging as such as gravitational wave sensing [1] and biological imaging [2]. Optical absorption estimation is the task of estimating the transmission para...
Optical quantum sensing strategies that utilise features of quantum states of light have implications for precision measurement in areas as wide ranging as such as gravitational wave sensing [1] and biological imaging [2]. Optical absorption estimation is the task of estimating the transmission parameter η which is defined by the ratio of input, Iin, to output, Iout, intensity of light from a sample of interest (Iout = ηΙίη). The optimal quantum strategy provides a quantum advantage (per incident photon) of 1/(1-η) over the best classical strategy [3]. This technique has been demonstrated experimentally in single parameter estimation and imaging scenarios [4,5].
Optical quantum sensing strategies that utilise features of quantum states of light have implications for precision measurement in areas as wide ranging as such as gravitational wave sensing [1] and biological imaging [2]. Optical absorption estimation is the task of estimating the transmission parameter η which is defined by the ratio of input, Iin, to output, Iout, intensity of light from a sample of interest (Iout = ηΙίη). The optimal quantum strategy provides a quantum advantage (per incident photon) of 1/(1-η) over the best classical strategy [3]. This technique has been demonstrated experimentally in single parameter estimation and imaging scenarios [4,5].
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