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Scott Aaronson on the Possibility of Fault-Tolerant Quantum Computing by 2028

Автор: The Quantum Bull

Загружено: 2025-12-20

Просмотров: 5046

Описание: This interview features an in-depth conversation with Scott Aaronson, one of the world’s leading thinkers in quantum computing and computational complexity.

Scott is a professor at the University of Texas at Austin, founding director of the Quantum Information Center, and former OpenAI researcher. In this interview, we cut through hype and marketing to focus on what is actually working in quantum computing today — and what still isn’t.

Topics covered in this episode:
• Why quantum hardware progress accelerated dramatically in the last year
• Two-qubit gate fidelity and why it matters more than qubit count
• The real state of quantum error correction
• Fault-tolerant quantum computing timelines (2028–2029)
• Superconducting vs trapped ion vs neutral atom approaches
• Why most quantum IPO narratives are misleading
• What quantum computers will realistically be useful for first
• Bitcoin, cryptography, and the coming post-quantum transition
• Why quantum is not “magic pixie dust” for AI or optimization

Key takeaway: quantum computing is finally crossing the fault-tolerance threshold, but scaling remains an enormous engineering challenge — and investors should separate real science from storytelling.

Visit https://thequantumbull.com for more quantum interviews, analysis, and market coverage.

00:00 – Introducing Scott Aaronson
01:05 – Why Hardware Progress Accelerated in the Last Year
11:05 – What Excites you Most about Quantum Computing?
18:00 – Cryptography, Bitcoin, and Quantum Risk
27:00 – What will be the chat GPT moment of Quantum Hardware?
30:00 – Which modality is ahead today? Supercoducting, Trapped Ion, Netural Atom?
37:10 – Separate Hype from Reality
45:00 – U.S. vs. China
50:00 – Quantum raoadmaps, do you believe they are achievable?
54:00 – Do we need to start thinking about computing differently?

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Scott Aaronson on the Possibility of Fault-Tolerant Quantum Computing by 2028

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