Trained correlated-photon illumination paired with a Transformer backend improves object classification accuracy by up to 15 percentage points in photon-starved noisy imaging.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Direct use of mechanical qubits from levitated particles for gravimetry achieves m^{-1/2} sensitivity scaling and 0.1 μGal/√Hz performance, outperforming traditional schemes by two orders of magnitude while reaching double standard quantum limits.
citing papers explorer
-
Ultra-low-light computer vision using trained photon correlations
Trained correlated-photon illumination paired with a Transformer backend improves object classification accuracy by up to 15 percentage points in photon-starved noisy imaging.
-
Quantum gravimetry with mechanical qubits
Direct use of mechanical qubits from levitated particles for gravimetry achieves m^{-1/2} sensitivity scaling and 0.1 μGal/√Hz performance, outperforming traditional schemes by two orders of magnitude while reaching double standard quantum limits.