Weekly opinion notes for investors. Not investment advice.

Which quantum computing companies are actually real

An ex-IonQ, ex-IBM Quantum theoretical quantum computer scientist separates billion-dollar breakthroughs from billion-dollar buzzwords. For investors who need to know the difference.

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Every claim evaluated against actual quantum mechanics. Not press releases. Not earnings calls. The physics.

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Clear buy/hold/avoid verdicts on every public quantum company. Updated weekly as new results emerge.

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Honest assessment of when (or if) quantum advantage arrives for each company's approach. No hype. No hopium.

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The Quantum Signals Analyst

Theoretical Quantum Computer Scientist

Published researcher in quantum error correction and fault-tolerant computation. Former academic who got tired of watching investors get misled by quantum companies confusing "quantum-inspired" with "quantum." Now writes the analysis I wish existed when I was fielding calls from confused VCs.

PhD Quantum Computing Published Researcher Former Academic No industry conflicts

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Quantum Signals #47 March 2026
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The Logical Qubit Milestone Nobody's Talking About

Last week's announcement buried a critical detail: the error rate on their logical qubits hit 10⁻⁶ — three orders of magnitude below the threshold needed for useful computation. This isn't incremental. This is the first credible evidence that one company's approach to error correction might actually work at scale.

Meanwhile, another major player quietly retracted their "quantum advantage" claim from Q4 after independent researchers couldn't replicate it. The stock hasn't moved yet. It will.

Company A
Superconducting / Error Correction
▲ Strong Buy
Company B
Trapped Ion / Full-Stack
◆ Watch
Company C
Photonic / Networking
— Hold
Company D
Quantum-Inspired / Software
▼ Avoid

The deeper analysis reveals why Company A's approach to surface codes gives them a structural advantage that competitors can't replicate without fundamental architecture changes. Their latest patent filing shows a novel decoder design that reduces overhead by 40%, which means their roadmap to 1000 logical qubits is now 2-3 years ahead of the published timeline. For investors, the implications are significant — the current valuation assumes quantum utility arrival in 2030, but internal benchmarks suggest 2028 is now realistic. Company D's "quantum-inspired" positioning becomes even harder to justify at their current multiple when real quantum computation arrives early.

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