Quantum Computing in Practice: Where We Are, What Works, and What’s Next
summary
Current capability: analog annealers and neutral‑atom QPUs solve optimization subproblems today, but they rarely beat tuned classical heuristics. Demo uses D‑Wave annealer via AWS Braket and a QuEra‑style neutral‑atom device to map a maximum independent set (room/shift assignment) to atoms placed on a grid; 70 shots cost about 70 shots ≈ $1 per job and the QPU returns a best sample of 76 nodes while a classical heuristic finds 86 for the same instance. Roadblocks are noise and error correction — IBM Condor 1,200 qubits but 0 logical qubits — so hybrid quantum‑classical workflows are the practical path now.
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chapters (11)
- 0:00Introduction
- 1:04Hype versus real impact
- 5:36What makes quantum special
- 8:41Stages of development
- 13:31Quantum annealing systems
- 17:48D-Wave demo
- 22:17Maximum independent set problems
- 25:51AWS Braket access
- 31:18Cryptography threats
- 36:09Post-quantum solutions
- 39:16Key takeaways
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