Ultimate limits of thermal pattern recognition

Optimal Gain Sensing of Quantum-Limited Phase-Insensitive Amplifiers

“…Beyond gain sensing itself, owing to the above-mentioned concatenation theorem, our results combined with those for pure-loss channels [11] are expected to yield fundamental performance limits for a vast suite of detection and estimation problems involving Gaussian channels with excess noise-see, e.g., Refs. [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32].…”

Learning Quantum Systems

“…This intuitive idea was formalised in [210] by showing that the error with optimal detectors decreases exponentially with the number of bits that must be flipped to switch class. Finally, quantum imaging can be enhanced by deep learning techniques [211][212][213], in order to increase the fidelity, discover deeper structure in data and overcome errors due to shot noise and background noise.…”

Entanglement-enhanced quantum ranging in the near-Earth spacetime

“…We figure out the maximum potential advantage of the quantum enhanced ranging protocol in the flat space and the Earth spacetime, respectively. The maximum potential quantum advantage can be defined by the difference between the classical and quantum lower bounds [36] f -∆P max = P C,LB − P E,LB ,…”

“…The wave packet overlap and the transmissivity of the photons are deformed by the Earth's spacetime curvature during the propagation. The maximum potential quantum advantage [36] is employed to represent the maximum possible improvement of quantum ranging protocol compared with classical ranging. It is shown that the maximum potential advantages of the quantum ranging strategy in the curved spacetime has distinct superiority over its counterpart in the flat spacetime.…”