Watch a conference talk from TQC 2023 exploring binary composite channel discrimination in quantum information theory, where Bjarne Bergh presents groundbreaking research on asymmetric channel discrimination strategies. Delve into the characterization of Stein's exponent for parallel channel discrimination strategies and discover an upper bound for adaptive channel discrimination strategies in quantum channels. Learn how adaptive strategies can outperform parallel strategies in classical channels with composite hypotheses, particularly when dealing with non-convex channel sets. Explore the broader implications of this research beyond the composite i.i.d. setting, including its application to composite state discrimination. Follow along as the presentation covers key topics including problem formulation, channel creation, composite hypothesis testing, asymmetric exponents, and the quantum gap, concluding with an interactive Q&A session.