Publications by authors named "Danilo Triggiani"

We present a quantum sensing scheme achieving the ultimate quantum sensitivity in the estimation of the transverse displacement between two photons interfering at a balanced beam splitter, based on transverse-momentum sampling measurements at the output. This scheme can possibly lead to enhanced high-precision nanoscopic techniques, such as superresolved single-molecule localization microscopy with quantum dots, by circumventing the requirements in standard direct imaging of camera resolution at the diffraction limit, and of highly magnifying objectives. Interestingly, we show that our interferometric technique achieves the ultimate spatial precision in nature irrespectively of the overlap of the two displaced photonic wave packets, while its precision is only reduced of a constant factor for photons differing in any nonspatial degrees of freedom.

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Fluorescence Lifetime Imaging Microscopy in the time domain is typically performed by recording the arrival time of photons either by using electronic time tagging or a gated detector. As such the temporal resolution is limited by the performance of the electronics to 100's of picoseconds. Here, we demonstrate a fluorescence lifetime measurement technique based on photon-bunching statistics with a resolution that is only dependent on the duration of the reference photon or laser pulse, which can readily reach the 1-0.

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Article Synopsis
  • Quantum sensing and metrology enhance the precision of measuring physical properties like lengths and temperatures, but face challenges such as fragile probe states and a limited working range.
  • This work presents two practical estimation schemes using squeezed light that achieve high precision (Heisenberg-scaling sensitivity) while addressing these challenges.
  • The methods include a single-step adaptation technique for a linear optical network based on classical estimation, and homodyne measurements with one detector to achieve high-precision parameter estimation without needing auxiliary networks by using multiple detectors.
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