Abstract: Landauer’s insight has grown into a broader thesis: (quantum) information organizes dynamics across scales. This talk presents a first-principles program for making that thesis operational in both quantum devices and complex systems. The guiding question: for a given system and level of description, which variables and patterns actually support prediction, control, and causal explanation, and which microscopic details can be safely treated as noise? I introduce information measures that track where predictive and controllable structure lives as we vary temporal and spatial resolution. Building on this, I will present resource theories that account for limits on locality, memory, and measurement. These theories yield bounds on the data required to reveal structure and on the control fidelity achievable under realistic noise, turning constraints into principled budgets for inference, intervention, and feedback.
Speaker
Akram TouilPostdoctoral Fellow at Los Alamos National Lab