The Quantum ‘Space Race’ Moment Is Here

Quantum AI Isn’t “Coming Someday.” It’s Becoming an Engineering Deadline.

Most people still think quantum computing is a science project. That framing is already obsolete.

In my latest paper, I lay out what the field is converging on: the million-qubit threshold — the scale where fault-tolerant systems can unlock hundreds to thousands of logical qubits and move from prototypes to consequential capability.

The real story isn’t hype. It’s the engineering stack: control electronics that can program millions of qubits, error correction that actually suppresses error rates, and facility-scale realities like cryogenics, wiring, and power. A system of this scale may draw data-center-class power (on the order of ~10–20 MW, depending on architecture) — because “the computer” is the quantum hardware plus the classical control plane that makes it run. And the timeline pressure is real. Recent research (see the Gidney paper) estimates suggest RSA-2048 could be within reach with ~1 million noisy qubits running for about a week, given algorithm and error-correction advances. My paper is a roadmap — hardware platforms, software, error correction, and systems engineering — written for leaders who need to plan for quantum as national infrastructure, not a curiosity.

All of this information is publically available. My paper just summarizes hundreds of research papers, corporate and academic websites, and market analysis.

Read it here: Quantum_Roadmap.pdf

Final Thoughts:

• If quantum becomes infrastructure, who in your organization owns the plan—security, IT, R&D, or the CEO?
• If you had to defend your organization against “harvest now, decrypt later,” what data would you protect differently starting this quarter?