What investors are saying about Quantum computing

Summary

In the past 30 days, 4 people on 3 investor and market shows discussed Quantum computing in 5 views. Chorus has followed Quantum computing since October 12, 2026.

Who talks about it most

• Arvind Krishna · 2
• Arthur Hayes · 1
• Brett Winton · 1
• Martin Shkreli · 1

The latest views

Newest first. Every quote is checked against the episode's transcript.

• Arthur Hayes · Flop Labs

  Q-Day threat to crypto is theoretical and less important to returns than other risks.

  Hayes says there is a lot of FUD about Q-Day, when quantum computers would break crypto, but there is much disagreement on whether it is a physics or engineering problem and many smart people are working on it. He says he sees a risk he cannot quantify and that there are far higher-probability threats to investment returns than this theoretical scenario, which he can worry about today.

  “I think there's way higher probability things that could destroy your investment returns than this theoretical Q Day.”at 32:30

  Wealthion: Arthur Hayes: Stocks Peak in 2027 Before the AI Bubble Bursts · October 27, 2026

• Arvind Krishna · IBM

  Quantum computers will break today's encryption around 2030; post-quantum cryptography exists, so migration must start now.

  Arvind argues that the timing of a cryptographically relevant quantum computer is debated between roughly 2028 and 2033. He takes 2030 as the midpoint and says that at that point today's cryptography will break, which he calls a reality rather than a supposition. He cites DARPA's Quantum Benchmarking Initiative, which started with a couple hundred companies and is now down to about 13, as a sign of what is real. Post-quantum cryptography is well understood and its code is written, so the gap is enterprise inertia, and he calls the present a wake-up moment. He also flags harvest-now-decrypt-later risk: an encrypted disk stolen today could be broken years later. He qualifies the point: post-quantum security rests on complexity-theory assumptions rather than a proof. He also argues that classical AI breaking encryption is possible in principle but would take too long per key to matter in practice.

  “if you pick the middle point, let's call it 2030, well, it will break today's cryptography. That's not a supposition. That's just a reality.”at 1:10

  All-In Podcast: Arvind Krishna & Nikesh Arora: Quantum Threat, Open vs Frontier AI, AI Cyber Warfare & SaaS Collapse · October 21, 2026

• Arvind Krishna · IBM

  Quantum gate counts could reach 10 million by 2029 if they grow tenfold yearly from about 10,000 today.

  Arvind proposes two milestones for judging quantum progress. The first is a demonstration of error correction or mitigation on a running machine rather than in simulation. He predicts someone will make such claims by next year, that third parties will evaluate them, and that one or two players will show real progress by 2027. The second is scaling gate computations, which are now around 10,000. If that count adds a zero each year, it reaches about 10 million by 2029. He says this could surprise everyone. He also notes that error-corrected logical qubits are a helpful but imperfect way to measure effective capacity.

  “if you put a zero per year, that means you could be at 10,000,000 by 2029. That's remarkable.”at 3:59

  All-In Podcast: Arvind Krishna & Nikesh Arora: Quantum Threat, Open vs Frontier AI, AI Cyber Warfare & SaaS Collapse · October 21, 2026

• Brett Winton · ARK Invest

  Quantum computing is at least a decade away, and AI may erode its codebreaking appeal first.

  Brett says he is skeptical of quantum computing timelines and thinks the technology is at least a decade out, if not longer. He also argues that AI's acceleration is taking commercial opportunity from quantum. The main justification for funding quantum computers has been that they would crack cryptography. If AI can break those codes first, there is less reason to fund the quantum machine, since the same Bitcoin could be taken with superintelligent AI.

  “I'm, at least publicly and personally skeptical on the timelines on quantum computing. I think we're at least a decade out, if not more.”at 12:04

  ARK Invest (FYI podcast, In the Know video): Is SpaceX Coming For Your Phone Bill? | The Brainstorm 153 · October 14, 2026

• Martin Shkreli · Q/C Technologies

  Quantum computers won't beat GPUs for business use; he is short quantum computing companies.

  Quantum machines run at hundreds or thousands of hertz and are single-threaded, so they are not faster general computers. Their only real advantage is a narrow factoring-type speedup (integer factorization and elliptic-curve discrete log), which matters to nerds, not businesses. Quantum has no storage, so problems must have tiny inputs, and they can never beat even one NVIDIA machine. He and his wife tested every quantum computer available and could not multiply 300 by 200 on any of them. Google and IBM spend hundreds of millions a year on a speculative payoff. He has been short quantum computing companies and says the trade lost millions, but the insight was worth billions.

  “So they'll never beat an NVIDIA machine. They'll never beat a million NVIDIA machines.”at 3:59

  All-In Podcast: Martin Shkreli: Big Pharma's Blind Spot, Betting Against Quantum & What Prison Taught Him · October 12, 2026