As Vice President of IBM Quantum Adoption, Scott Crowder has spent the last decade moving quantum from a lab to the real world. They might have just done it.

Ten years ago, IBM put a five qubit machine on the cloud and let anyone run a program on it. Today, researchers have published nearly 6,000 papers on IBM hardware, and the field sits at a tipping point.Quantum computers now run algorithms too complex for any classical machine. The question is whether they will soon run them better, not just differently. That threshold will collapse the field’s two warring camps.Scott walks us through where the field actually is right now. Cleveland Clinic recently simulated a 303 atom protein by splitting the problem between quantum and classical hardware, a jump from the 14 atoms they could handle nine months earlier.Researchers at RIKEN in Japan are coordinating quantum hardware and the country's largest HPC cluster in the same building. Both efforts point toward what IBM calls a quantum-centric supercomputer, an architecture where quantum and classical resources accelerate each other rather than compete.By 2029, IBM plans to deliver a scalable, fault-tolerant quantum system the size of a few racks rather than a football field. Scott gave us his actual error bar on that date: minus six months, plus one year, at 80% confidence. The biggest challenge is no longer the hardware. It is getting enough humans to invent the algorithms that make the hardware useful.We explore why superconducting qubits beat the alternatives, how a quantum computer draws about the same power as a single rack of AI hardware, whether quantum data centers belong in space, why helium-3 may become a real constraint by the mid-2030s, and what Richard Feynman would make of his 1981 vision finally coming to life.

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Chapters

(00:00) Trailer

(01:20) Quantum computing: real, hyped, or both

(02:40) Why reference architectures decide which technologies win

(05:05) Superconducting vs. trapped ion vs. spin qubits

(06:47) Why accessibility and algorithmic discovery are the real bottlenecks

(12:34) Cleveland Clinic's 303-atom protein simulation

(13:44) IBM's quantum-centric supercomputing architecture

(16:07) What already runs on quantum computers today

(17:58) The roadmap: how quantum and classical converge

(22:28) What Richard Feynman would make of the field today

(25:25) What quantum computing means for the future of data centers

(32:01) Quantum computers in space, and why Crowder rejects Elon's pitch

(34:10) What computing is actually for

(42:19) Why Qiskit, NVIDIA, and open source matter for adoption