معرفی
Iris Agresti is a researcher affiliated with the Faculty of Physics at Politecnico di Milano, specializing in quantum computing, quantum information, and machine learning. Her work bridges quantum optics and computational advancements, with recent publications in high-impact journals like Nature Photonics and Physical Review Research.
- Education: PhD in Physics.
Research focuses on photonic processors for quantum machine learning, quantum state superposition, and integrated photonic systems for generating GHZ entangled states. Her 2025 article explores kernel-based quantum-enhanced machine learning, while 2024 work investigates time-reversed quantum evolution and high-fidelity photon entanglement.
She has participated in international collaborations and workshops, including visits to Politecnico di Milano, and is part of funded projects like Photonic Reservoir Computing for Quantum Correlation Sets (2022–2025). Her work garners attention from news outlets, social media, and academic platforms like Mendeley.
