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Explore quantum world models and their role in how quantum systems interact with the quantum world in this conference talk from QTML 2025. Learn about the concept of world models as frameworks that physical systems use to gather information, process it, and act upon their environment, distinguishing between implicit models in biological systems and explicit models in AI and robotics. Discover how speaker Seth Lloyd introduces quantum world models as specialized frameworks for quantum system interactions. Examine the application of recently developed physical measures of complexity to populations of quantum systems that harvest free energy and convert it into reproductive work. Understand the mathematical proof demonstrating how populations converge to optimal quantum world models through Bayesian inference, based on the assumption that reproductive rates correlate with free energy conversion efficiency. Analyze the comparative advantages of quantum world models over classical models when interacting with quantum environments, providing insights into the fundamental principles governing quantum system behavior and optimization.
