Explores demystifying quantum mechanics through logical inference and robust experimental descriptions, emphasizing the separation of conditions and fundamental quantum equations.
Explores bug-finding, verification, and the use of learning-aided approaches in program reasoning, showcasing examples like the Heartbleed bug and differential Bayesian reasoning.
Covers inductive propositions in Coq, focusing on evaluation rules for arithmetic expressions and their applications in defining partial and non-deterministic functions.
