
Abdulrahman S. Alrubkhi
Graduate Student
Quantum Machine Learning
Extending magic (non-stabilizerness)-based diagnostics of quantum circuits to noisy, mixed-state settings to better predict trainability and quantum advantage.

Graduate Student
Quantum Machine Learning
Extending magic (non-stabilizerness)-based diagnostics of quantum circuits to noisy, mixed-state settings to better predict trainability and quantum advantage.



Graduate Student
Quantum Machine Learning
Investigating the impact of different quantum properties on quantum circuits for quantum machine learning.

Graduate Student
Particle Physics
Quantum correlations, entanglement, and spin observables in top-quark pair production and Higgs boson decays to tau leptons using the CMS experiment at the CERN Large Hadron Collider


Graduate Student
Quantum Machine Learning
Writing quantum algorithms both for practical applications and fundamental science exploration.