Quandela Demonstrates Photonic Quantum Reservoir Processing for Advanced Machine Learning and Single-Basis Quantum Tomography - Quantum Computing Report

A collaborative research group consisting of quantum information scientists from Quandela, the Center for Theoretical Physics of the Polish Academy of Sciences, and the University of Warsaw has experimentally demonstrated a scalable physical Quantum Machine Learning (QML) architecture. Supported by the European Union’s Horizon Europe QUONDENSATE Pathfinder project, the team utilized a programmable silicon photonic Quantum Processing Unit (QPU) excited by single-photon states to perform both classical machine learning classification and intrinsically quantum information processing tasks. Crucially, the hardware deployment introduces a practical method to overcome exponential scaling bottlenecks in quantum state characterization by successfully executing complete quantum state tomography and [...]

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