Quantum-Enhanced Pattern Recognition
Giuseppe Ortolano, Carmine Napoli, Cillian Harney, Stefano Pirandola, Giuseppe Leonetti, Pauline Boucher, Elena Losero, Marco Genovese, Ivano Ruo Berchera
Abstract
This work demonstrates experimentally that the advantage gained in sensing using quantum photonic resources can be sustained, and even amplified, through complex classical post-processing aimed at extracting relevant features. Despite the very different architectures of the classical algorithms tested here, the quantum advantage in classification performance appears to be robust and qualitatively very consistent. Thus the results argue for widespread use of quantum sensing technologies, in any field that deals with pattern recognition in large datasets.
Topics & Concepts
QuantumComputer sciencePhotonicsField (mathematics)Quantum imagingQuantum technologyQuantum sensorPattern recognition (psychology)Artificial intelligenceQuantum computerQuantum networkPhysicsOptoelectronicsOpen quantum systemMathematicsQuantum mechanicsPure mathematicsQuantum Information and CryptographyQuantum Computing Algorithms and ArchitectureNeural Networks and Reservoir Computing