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Quantum computing has a hype problem.
Quantum computing has a hype problem. But the real challenge is much harder than most people think.
In Part 2 of this conversation, Frank Dekker continues his deep dive with Olivier Ezratty and gets into what real progress in quantum actually looks like. One of the clearest takeaways is that every step forward can create a new bottleneck. Solve one problem, and another appears right behind it.
This episode is for investors, founders, and anyone trying to understand why scaling quantum computing is so difficult. The challenge is not just adding more qubits. It is building a system that can handle noise, error correction, control complexity, and energy demands, while still producing something useful at a cost the market can bear.
That is what makes this conversation so valuable. Olivier brings a grounded perspective that goes beyond exciting narratives and focuses on what it really takes to make the whole system work.
💡 In this episode, we cover:
Why quantum computing has a hype problem
Why solving one problem often creates another
Why scaling quantum is not just about adding more qubits
How noise and control complexity slow real progress
Why error correction creates major system overhead
Why energy demands matter in the future of quantum computing
Why quantum is a full stack challenge across physics, engineering, software, control, and economics
Why the winners in quantum will be the teams that can make the whole system work
YouTube Chapters
00:00 Introduction and the core question
00:52 Does a quantum computer really work?
05:45 Is a quantum computer really a computer?
10:39 Quantum memory, QRAM, and communication
14:28 How AI helps quantum and where it still does not
19:38 Which quantum technology platform will win?
27:20 Why every scaling solution creates a new problem
40:05 Quantum Energy Initiative and why energy matters
52:49 The three expensive classical costs behind FTQC
56:10 Quantum engineering and the bigger opportunity in quantum
🔗 Resources / Links
Follow Olivier Ezratty on LinkedIn: https://www.linkedin.com/in/ezratty/
Listen to all episodes: https://open.spotify.com/show/7HZpSCz1w7a782e1B26MYA
Share this episode with someone following quantum computing seriously.
Subscribe or follow Beyond the Qubit for more conversations on quantum technology, markets, and investing.
📌 Disclaimer: This post is shared on a personal basis and I do not represent any company.
View all episodes
By Frank DekkerQuantum computing has a hype problem. But the real challenge is much harder than most people think.
In Part 2 of this conversation, Frank Dekker continues his deep dive with Olivier Ezratty and gets into what real progress in quantum actually looks like. One of the clearest takeaways is that every step forward can create a new bottleneck. Solve one problem, and another appears right behind it.
This episode is for investors, founders, and anyone trying to understand why scaling quantum computing is so difficult. The challenge is not just adding more qubits. It is building a system that can handle noise, error correction, control complexity, and energy demands, while still producing something useful at a cost the market can bear.
That is what makes this conversation so valuable. Olivier brings a grounded perspective that goes beyond exciting narratives and focuses on what it really takes to make the whole system work.
💡 In this episode, we cover:
Why quantum computing has a hype problem
Why solving one problem often creates another
Why scaling quantum is not just about adding more qubits
How noise and control complexity slow real progress
Why error correction creates major system overhead
Why energy demands matter in the future of quantum computing
Why quantum is a full stack challenge across physics, engineering, software, control, and economics
Why the winners in quantum will be the teams that can make the whole system work
YouTube Chapters
00:00 Introduction and the core question
00:52 Does a quantum computer really work?
05:45 Is a quantum computer really a computer?
10:39 Quantum memory, QRAM, and communication
14:28 How AI helps quantum and where it still does not
19:38 Which quantum technology platform will win?
27:20 Why every scaling solution creates a new problem
40:05 Quantum Energy Initiative and why energy matters
52:49 The three expensive classical costs behind FTQC
56:10 Quantum engineering and the bigger opportunity in quantum
🔗 Resources / Links
Follow Olivier Ezratty on LinkedIn: https://www.linkedin.com/in/ezratty/
Listen to all episodes: https://open.spotify.com/show/7HZpSCz1w7a782e1B26MYA
Share this episode with someone following quantum computing seriously.
Subscribe or follow Beyond the Qubit for more conversations on quantum technology, markets, and investing.
📌 Disclaimer: This post is shared on a personal basis and I do not represent any company.