Stochastic Thermodynamics & Information

My work focuses on the second law of thermodynamics and measures of time-reversal asymmetry through information-theoretic quantities. The centerpiece of my work is an algebraic relationship between information rates and physical observables that quantify the amount of irreversible entropy produced in the time-evolution of a thermodynamic process.

Machine Learning Quantum

My work focuses on the effects of doping Clifford random quantum circuits with Universal gates. The Universal gates generate the group of all possible quantum logic gates but are costly to implement with current technology. I've constructed a pipeline to manipulate quantum states and circuits for classification by a machine learning algorithm to gain insight on the structure of quantum complexity.