Shane Smith sits down with Julian Kelly, Senior Director of Hardware at Google Quantum AI
and architect of the groundbreaking Willow chip, to map out the next frontier of computing.
Kelly explains how Google’s 100plusqubit processors now complete benchmark tasks in minutes
that would outlive the universe on today’s fastest supercomputers, why errorcorrected “logical”
qubits are the last hurdle to practical machines, and which realworld problems will fall first once
quantum power comes online. Along the way they tackle encryption panic, AI synergy, the
global quantum race, and the mindbending philosophy behind manyworlds.
Conversation Highlights:
Willow & “beyondclassical” benchmarks: 10²⁵year speedup over conventional
supercomputers
Roadmap milestones → quantum supremacy → scalable error correction →
“Milestone 3” logical qubit
Drug discovery, battery chemistry, fertilizer synthesis, fusion research & other early killer
apps
Postquantum cryptography and the myth vs. reality of “QDay” databreach fears
Cooling to 10 milliKelvin, chip design shifts from DWave annealers to gatebased
processors
How AI can train on quantumgenerated data—and how quantum can turbocharge AI
research
Global landscape: Google’s lead, government labs, and the rise of private startups
Philosophical detours: superposition, entanglement, manyworlds interpretations
Fiveyear horizon for the first commercially useful quantum workload
Kelly’s personal journey—from UCSB lab tinkerer to Google’s quantum hardware chief
Learn more about your ad choices. Visit podcastchoices.com/adchoices