DataFramed #346 Get Quantum Ready with Yonatan Cohen, CTO at Quantum Machines
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Feb 16, 2026 
Yonatan Cohen, physicist and CTO of Quantum Machines, builds control systems for quantum computers. He discusses near-term simulation and crypto risks. He covers noisy qubits, the heavy overhead of error correction, hybrid quantum-classical workflows, timelines for niche wins vs broad impact, and where companies should focus first.
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100–1,000 Qubits Already Show Unique Regimes
- Current quantum hardware sits around 100–1,000 physical qubits and can already solve some mathematically hard tasks classical supercomputers struggle with.
- These demonstrations are not yet broadly useful, but they prove unique computational regimes exist today.
Scaling Shows Promising Error-Rate Trends
- Error-correction demonstrations now show the correct scaling: more physical qubits can yield lower logical error rates.
- The next step is scaling to many logical qubits with low error rates to unlock first practical applications.
Quantum Advantage Sparks Classical Optimization
- Claims of quantum advantage often trigger rapid classical algorithmic improvements that can remove the advantage.
- Demonstrating durable, application-relevant advantage is a competitive race between quantum and classical improvements.