The Next Compute Revolution: Are We Ready for Quantum?
summary
Claim: useful quantum machines are nearer than the “30 years away” refrain and already power niche wins in search and optimization, quantum chemistry and simulation. Demonstrated use cases include routing/scheduling, fraud detection and faster inference; tooling exists but is immature. Engineering gaps are concrete: no interoperability between backends, no observability, unclear hybrid data workflows, and duplicate-data scale problems (27 teams once produced the same inventory features). The next work is MLOps-for-quantum: feature stores, monitoring, and open-source bridges.
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chapters (7)
- 0:00Quantum computing relevance
- 2:30Huang's quantum prediction
- 3:53Quantum state and potential
- 6:43AI winters and challenges
- 9:49Quantum infrastructure gaps
- 12:57Hybrid quantum AI workflows
- 13:58Call to bridge quantum and AI
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