8 papers
Giant Photon Superbunching from Weak Nonlinearity
You Wang, Xu Zheng, Timothy C. H. Liew +1
Photon superbunching, which occurs when the second-order correlation satisfies , is typically associated with strong optical nonlinearities or collective multi-photon e…
Quantum reservoir computing with classical and nonclassical states in an integrated optical circuit
S. Åwierczewski, W. Verstraelen, P. Deuar +3
Quantum reservoir computing (QRC) is a hardware-implementation-friendly quantum neural network scheme with minimal physical system requirements and a proven advantage over classica…
Quantum Light Detection with Enhanced Photonic Neural Network
StanisÅaw Åwierczewski, Dogyun Ko, Amir Rahmani +7
Advances in quantum technologies are accelerating the demand for optical quantum state sensors that combine high precision, versatility, and scalability within a unified hardware p…
Spectroscopy on a single nonlinear mode recognizes quantum states
Wouter Verstraelen, StanisÅaw Åwierczewski, Andrzej Opala +7
Characterising optical quantum states is essential for the development of quantum technologies. While traditional approaches to perform full quantum state tomography are often expe…
Phase-Space Framework for Noisy Intermediate-Scale Quantum Optical Neural Networks
StanisÅaw Åwierczewski, Wouter Verstraelen, Piotr Deuar +4
Quantum optical neural networks (QONNs) enable information processing beyond classical limits by exploiting the advantages of classical and quantum optics. However, simulation of l…
Experimental demonstration of enhanced quantum tomography via quantum reservoir processing
Tanjung Krisnanda, Pengtao Song, Adrian Copetudo +4
Quantum machine learning is a rapidly advancing discipline that leverages the features of quantum mechanics to enhance the performance of computational tasks. Quantum reservoir pro…