Sunny Ray welcomes back Brian Lenahan, founder and chair of the Quantum Strategies Institute, for part two of their conversation on quantum computing's rapid march toward commercialization. Lenahan recaps his recent TEDx talk at Lakehead University on the transition from AI to quantum careers, then unpacks breakthroughs in error correction that are shrinking the number of qubits needed to solve real problems. The two discuss banks piloting quantum for portfolio optimization, NVIDIA and IBM's expanding quantum ecosystems, and a widening gap between quantum job openings and available talent. The conversation turns urgent around Y2Q, the projected 2030 arrival of fault tolerant quantum computers capable of breaking RSA and elliptic curve cryptography. Lenahan explains harvest now, decrypt later attacks already underway against encrypted data, and what that means for Bitcoin's exposed public keys. He offers a practical migration roadmap for organizations and Bitcoin platforms alike, prioritizing asset inventories, community awareness, and layered post-quantum protections before the window closes.
Quantum expert Brian Lenahan explains why the 2030 Y2Q deadline makes today's encrypted data, including Bitcoin, a present tense risk.
Since we last spoke on May 15th, where is quantum on the hype versus reality curve now?
It continues moving in the right direction. There aren't really ChatGPT moments in quantum, more incremental progress. In just the last few weeks we've seen real improvements in error correction, plus a lot more investment activity and talk of IPOs and SPACs. So there's continued focus both inside the labs and inside the investment community.
How did your TEDx talk go, and what was it about?
It went great. I spoke at Lakehead University in Thunder Bay to a lot of computer science masters students. My talk was called When One Door Closes, about transitioning from AI to quantum. Entry-level coding jobs are disappearing because AI does them cheaper and cleaner, so I encouraged students to look at quantum instead, where The Quantum Insider projects 840,000 new jobs by 2035.
Your 2025 quantum look-back flagged logical qubits, PQC urgency, and geopolitical shifts as the big stories. Which surprised you most?
Logical qubits surprised me most. Qubits are fragile, so they need physical qubits wrapped around them for error correction. Since I wrote that article, companies have made substantial breakthroughs in error correction, meaning it now takes far fewer qubits to do the same job. That means real scaling and a path toward commercial quantum computing.
What separates banks getting real value from quantum from those just doing quantum theater?
Take portfolio construction. Banks like HSBC or Santander can realistically only factor in about 20 variables before it becomes exponentially harder to model something resembling real life. Quantum is suited to that kind of intractable problem. Banks are running comparisons: does quantum give better output, use less energy, or scale more easily than classical systems before fully committing.
Is the billion dollar quantum-as-a-service revenue from IBM, AWS, and Microsoft genuine adoption or cloud vendors monetizing curiosity?
In 2026 it's more the latter. Classical computers are accurate to about 15 nines, while the best quantum computers are around 99.99 percent accurate, and at trillions of transactions that gap matters. Companies are saying prove it rather than switching over. What encourages me is that sensing and communications, the other two pillars of quantum, are already proven and in military use today.
For a leader who tuned out quantum this year because it felt too far off, what's the single most important thing they missed?
The timetable. Organizations don't turn on a dime, transformations take years. Google is targeting 2029 for fault tolerant quantum, and Y2Q clocks point to April 14, 2030. That's not far away, but organizations move slowly and controls and regulations are falling even further behind the technology than the technology itself is moving.
Google Quantum AI suggested Bitcoin's elliptic curve cryptography could fall to under 500,000 physical qubits, a 20-fold cut from prior estimates. How seriously should the Bitcoin community take that?
We're seeing real 10x reductions in qubits needed to solve these challenges, so the implications are vast. Bitcoin operators shouldn't stay exposed, they need to layer in post-quantum cryptography and things like quantum key distribution to protect communication pipelines, the same way Google, Amazon, and IBM are already doing for their own systems.
Can you walk us through harvest now, decrypt later, and why the quantum threat to encrypted data is already a present tense problem?
Bad actors are already harvesting companies' data today because they can access it, they just can't decrypt it yet. They're storing it until a quantum computer becomes available. If that happens within a 7 year window where data like social security numbers or banking records is still relevant, that's a massive risk happening right now, we just haven't seen it hit the news yet.
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