Quantum Biology Modeling in the Age of AGI

Photosynthesis, bird navigation, enzyme catalysis, maybe even cognition: a growing body of work argues that life exploits quantum effects, and that the brain itself might run on coherence and entanglement we don't yet know how to model. The problem has always been simulation. The open-quantum-system dynamics behind these phenomena are brutally expensive to compute, which is exactly where modern AI changes the game. Join us for an evening of close reading and discussion across two papers. We start with a quantum information science take on the leading quantum models of consciousness, working through the Posner molecule hypothesis and whether entanglement can actually survive inside a living system. We then turn to the methods question: how machine-learning surrogate models make quantum biology simulations tractable at scale. Come if you work in quantum information, computational biology, ML for science, or you just want to argue about whether consciousness is quantum. Bring questions, bring skepticism. Required Reading Paper 1: Quantum Models of Consciousness from a Quantum…