Quantum architecture for utility scale with HPC, AI and Quantum
summary
AI+HPC pipeline screens 32 million candidates by atomic substitution, retrains on DFT, validates 583 targets and sends 18 to the lab where one solid‑state electrolyte battery prototype works; resource estimates compare a single GPU to an optimistic quantum machine of 10,000 logical qubits with 10 μs cycles and find up to ~10^11 performance gap, so useful targets are small‑data, super‑polynomial speedups; a first fault‑tolerant system of 50 logical qubits shipped and topological (Majorana) qubits promise digital, cryogenic‑friendly control but require engineering for 10^9–10^13 physical ops/sec.
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chapters (11)
- 0:00Introduction
- 3:15Matthias Troyer’s journey
- 8:40Clarity versus hype
- 13:23Constants for utility-scale quantum
- 20:20Quantum, AI and HPC
- 27:57Classical simulations limits
- 33:46AI learning quantum physics
- 41:58Full-scale quantum computer
- 51:01Quantum control challenges
- 54:37Topological qubits control
- 1:00:21Path to utility-scale quantum
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