Episode

Episode 15: Stacking AI with Quantum in the Sciences

Podcast
From Models to Medicine
Published
Jul 8, 2026
Duration seconds
2690
Processing state
not_requested
Canonical source
https://podcasters.spotify.com/pod/show/kami-think-tank/episodes/Episode-15-Stacking-AI-with-Quantum-in-the-Sciences-e3k3ep7
Audio
https://anchor.fm/s/110164688/podcast/play/120748263/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-4-30%2Fb5d6ba7e-417c-ebdd-1595-0f0352154f7a.mp3
JSON
/v1/public/podcasts/from-models-to-medicine-7769799/episodes/episode-15-stacking-ai-with-quantum-in-the-sciences
Markdown
/podcast/from-models-to-medicine-7769799/episode-15-stacking-ai-with-quantum-in-the-sciences.md

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Summary

Anna Benefiel has spent over 20 years in healthcare innovation, and she's tired of watching life sciences sit on the sidelines of quantum computing. In this episode, she makes a direct case for why pharma needs to stop treating quantum as a future problem and start treating it as a present opportunity. We get into what quantum actually does that classical computing cannot, why probabilistic nuance matters for complex biological problems, and where the real near-term value lives: clinical trial optimization, supply chain, and cell culture yields. We also dig into what happens when you stack quantum on top of AI. Anna points to models already using standard histopathology slides to generate spatial proteomic maps for lung cancer, and argues quantum is what takes discoveries like that to the next order of magnitude. *The views represented on this podcast are not a reflection of Strangeworks.