Trained correlated-photon illumination paired with a Transformer backend improves object classification accuracy by up to 15 percentage points in photon-starved noisy imaging.
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A paired dual-squeezer Mach-Zehnder interferometer reaches Heisenberg-limited phase sensitivity with direct photon-number-difference detection by overcoming the equal-intensity divergence of standard squeezed-vacuum schemes.
citing papers explorer
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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.
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Toward Heisenberg-Limited Interferometry with Dual Squeezers
A paired dual-squeezer Mach-Zehnder interferometer reaches Heisenberg-limited phase sensitivity with direct photon-number-difference detection by overcoming the equal-intensity divergence of standard squeezed-vacuum schemes.