Heisenberg-Limited Quantum Lidar for Joint Range and Velocity Estimation
- URL: http://arxiv.org/abs/2311.14546v1
- Date: Fri, 24 Nov 2023 15:29:03 GMT
- Title: Heisenberg-Limited Quantum Lidar for Joint Range and Velocity Estimation
- Authors: Maximilian Reichert, Quntao Zhuang, Mikel Sanz
- Abstract summary: We propose a quantum lidar protocol to jointly estimate the range and velocity of a target by illuminating it with a single beam of pulsed displaced squeezed light.
We show that the mean-squared errors of both range and velocity estimations are inversely proportional to the squared number of signal photons, simultaneously attaining the Heisenberg limit.
- Score: 0.4604003661048266
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We propose a quantum lidar protocol to jointly estimate the range and
velocity of a target by illuminating it with a single beam of pulsed displaced
squeezed light. In the lossless scenario, we show that the mean-squared errors
of both range and velocity estimations are inversely proportional to the
squared number of signal photons, simultaneously attaining the Heisenberg
limit. This is achieved by engineering the multi-photon squeezed state of the
temporal modes and adopting standard homodyne detection. To assess the
robustness of the quantum protocol, we incorporate photon losses and detuning
of the homodyne receiver. Our findings reveal a quantum advantage over the
best-known classical strategy across a wide range of round-trip
transmissivities. Particularly, the quantum advantage is substantial for
sufficiently small losses, even when compared to the optimal -- potentially
unattainable -- classical performance limit. The quantum advantage also extends
to the practical case where quantum engineering is done on top of the strong
classical coherent state with watts of power. This, together with the
robustness against losses and the feasibility of the measurement with
state-of-the-art technology, make the protocol highly promising for near-term
implementation.
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