Stochastic Thermodynamics and Computer Science Theory II

Computer science theory traditionally examines computational costs like time and memory usage. While energy consumption and heat generation are critical in real computers, their theoretical analysis has been limited due to the inability of conventional statistical physics to analyze systems that involve complex operating conditions such as non-equilibrium states, finite processing times, multiple components, along with constraints on their allowed properties. The currently unfolding new field of (stochastic) thermodynamics provides tools to analyze these real-world thermodynamic costs.

Last year's successful SFI workshop brought together computer scientists and physicists from three continents to explore these intersections, resulting in many ongoing collaborations. Building on the strong foundation of this previous meeting, this workshop is designed to deepen these collaborations and generate tangible outcomes. In particular, we will build on last year's breakout sessions to catalyze new collaborations aimed at producing the first joint research outcomes, including articles prepared for journal submission.

A notable highlight of this year's program is the exploration of a collaborative book project among the attendees, to be published by SFI Press. This initiative offers a unique opportunity for contributors to develop essay versions of their ongoing and published research into a cohesive volume. In addition, the event will feature a suite of educational resources. A series of tutorials and detailed lecture notes will be made available to all participants, ensuring that both newcomers and seasoned researchers have access to cutting-edge methodologies and theoretical frameworks in thermodynamics of computation.