Quantum Machine Learning
This research investigates when quantum-data kernels remain informative with finite measurement budgets, with emphasis on resource scaling, concentration effects, and quantum phase-transition learning.
Giovanni Scala
Incoming Assistant Professor and SONATA 21 Principal Investigator (from November 2026)
Theoretical physicist connecting quantum foundations with secure communication, entanglement certification, and quantum technologies.