Covers challenges in protein design, energy functions, search algorithms, and applications in synthetic biology, emphasizing the importance of protein design and the methods used for designing proteins.
Explores the Eigenstate Thermalization Hypothesis in quantum systems, emphasizing the random matrix theory and the behavior of observables in thermal equilibrium.
Explores constructing correlators using path integrals in quantum mechanics, focusing on the Euclidean and Minkowski spaces and the significance of imaginary time evolution.
Explores analog quantum simulation, focusing on shaping quantum systems to replicate specific Hamiltonians and achieving Bose-Einstein condensation in experiments.