This episode explores how quantum computing is taking on one of the hardest problems in neuroscience: mapping the connectome — the complete wiring diagram of the human brain. Lucas and Luna discuss why classical computers hit a wall with the brain's 100 billion neurons and 100 trillion connections, and how quantum algorithms like quantum annealing and tensor networks are beginning to untangle neural circuits. They zero in on a specific 2025 study where a D-Wave quantum annealer mapped a mouse retinal connectome 100 times faster than a classical supercomputer, and what that means for understanding disorders like Alzheimer's and autism. No hype — just the concrete numbers, the hardware limitations, and why the quantum-neuro interface is suddenly plausible. A grounded look at the intersection of two complex sciences.

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