Seminar - Saleh Rahimi-Keshari 

Title: Phase-space negativity as a resource for quantum information processing
 
Abstract: 
Negativity in phase-space quasi-probability distributions is widely recognized as a key resource enabling quantum computational speedups. When these distributions are non-negative, quantum circuits can be efficiently simulated using classical computers. We introduce classical algorithms that enable approximate yet scalable simulation of quantum-optical experiments, even in regimes where negativity is present. Applying this framework to boson-sampling experiments, we identify fundamental limitations on their verifiability under realistic conditions that include noise and loss. We then analyze the role of phase-space negativity in quantum kernel methods, proposed as a pathway toward quantum advantage in machine learning. Finally, we discuss additional applications of quasi-probability representations in characterizing measurement incompatibility in continuous-variable quantum systems.