Corridors

Quantum — downstream demand sensor

Wedge #3 of the frontier-risk engine. It does NOT pick the winning quantum stock (the pure-plays are a likely brutal shakeout — huge caps on ~$1-130M revenue). It grades the gap between quantum PROMISES and demonstrated CAPABILITY, and maps who gets paid either way: the supply-chain shovels + the post-quantum-crypto counter-wave.

Role in the system: the second downstream demand & exposure sensor for the materials model — quantum commercialization pulls cryogenics, specialized semiconductors, photonics and rare materials, and its milestone→material dependencies are a planned integration, said plainly. Underneath: the same freeze/grade substrate pointed at quantum computing and the post-quantum-crypto wave. It grades the gap between quantum promises and demonstrated capability; it does not pick the winning quantum stock.

Why this exists — in plain English, and for the kids

* In plain English

This is an honesty engine for the quantum boom. Quantum computing is the most hype-saturated frontier there is — companies worth billions have almost no revenue, roadmaps slip constantly, and “we beat every normal computer” claims get quietly walked back a few months later. This engine sorts the promises from the proof: it puts every program on a capability ladder (backed by cited results), grades the industry's dated roadmap promises hit-or- slip, and keeps score of which “advantage” claims actually survived.

The money angle isn't “guess the winning quantum stock” (a likely brutal shakeout — huge caps on ~$1-130M revenue). It's the picks-and-shovels — the lasers, cryogenics, and control gear every machine needs — plus the post-quantum-crypto layer that migration deadlines (NIST timelines, federal mandates) are pushing regulated buyers toward — a policy-driven demand claim, not a certainty. Every call is frozen and graded against a “nothing changed” baseline. Everything here feeds the materials mission: demonstrated capability is tomorrow's material demand, read early.

If it works: A dashboard that separates quantum promises from demonstrated capability before the market does — publishing the roadmap-slip rate and advantage-survival rate no one else keeps — and names the supply-chain and crypto layers that get paid regardless of which qubit wins.
For the kids

Quantum computers are all over the news, promising to be unimaginably powerful. But here's the secret this board refuses to hide: not a single one can yet do something useful that a normal computer can't. Lots of them can do cool tricks; none has won the real race. This is a truth-detector that scores how real each quantum team is, and shows the proof.

It also writes down every “we'll have it by year X” promise and checks it on the due date — and instead of betting on a flashy quantum stock, it watches the companies selling the parts. In a gold rush, the shovel-seller wins.

If it works: It becomes the scoreboard everyone trusts for “which quantum computers are REAL and which are just hype” — and spots the part-makers who quietly win no matter which quantum machine comes out on top.
*In plain English: Every quantum-computing program on a 6-rung capability ladder from “simulation only” to “fault-tolerant USEFUL advantage,” with the primary source for each rung. A rung moves only with a cited result. The honest denominator under the qubit-count hype: how many have shown real error correction — and how many have shown a useful advantage (still zero).
For the kids: A scoreboard of every quantum-computer team, sorted by how REAL their machine is. Bottom = just an idea or a simulator. Top = a machine that fixes its own errors and does something genuinely useful. The big secret: NOBODY is at the top yet — zero teams can do something useful that a normal computer can't. This board refuses to pretend otherwise.
33.3%
capability mass (Q3+)
3/9 at below-threshold QEC+
0
Q5 useful advantage
fault-tolerant value on a real problem
8
stale (needs re-cite)
capability evidence >1yr old
Q0proposal / simulationQ1physical QPU (NISQ)Q2benchmark claim (pre-QEC)Q3below-threshold QECQ4logical qubit operatedQ5fault-tolerant USEFUL advantage
Q4Quantinuumtrapped-ion2 rung recordssince 2026-02-25

Q3->Q4 (2026-07-06 crew cite): sustained logical operation beyond break-even. Not Q5 (no useful fault-tolerant ADVANTAGE on a real problem yet).

cite: Quantinuum Helios (arXiv:2602.22211, 2026-02-25): up to 48 error-CORRECTED logical qubits on the 98-qubit Helios processor operating BEYOND BREAK-EVEN (logical gate error ~1e-4, better than raw physical) — dozens of logical qubits beating the physical error rate.

Q4QuEraneutral-atom2 rung recordssince 2026-01-14

Q3->Q4 (2026-07-06 crew cite): logical qubits operated with error-corrected gates below threshold. Not Q5 (a fault-tolerant architecture demo, not a useful advantage).

cite: Harvard/MIT/QuEra (Nature, DOI 10.1038/s41586-025-09848-5, Jan 2026): 96 error-corrected logical qubits from 448 neutral atoms with error-corrected gates across all 96 simultaneously and 2.14x below-threshold suppression — the largest verified logical-qubit count to date.

Q3Google Quantum AIsuperconductingstale · re-verifysince 2024-12-09

The canonical Q3: the first clear below-threshold QEC demonstration. Not Q4 (no sustained useful logical computation yet).

cite: Google 'Willow' (Nature, 2024-12-09): below-threshold error correction — logical error rate falls exponentially as code distance grows (d=3->5->7).

Q2D-Waveannealingstale · re-verifysince 2025-03-12

Q2 (annealing paradigm — different from gate-model; advantage claim tracked in the Advantage Ledger, not counted as gate-model Q3+).

cite: D-Wave Advantage2 + 'quantum supremacy on a useful problem' claim (Science, 2025-03): annealing-based simulation advantage claim (contested).

Q2IBMsuperconductingstale · re-verifysince 2025-06-01

Q2: strong NISQ + benchmarks + error mitigation, but sustained below-threshold LOGICAL operation is a roadmap target, not demonstrated -> not Q3.

cite: IBM Heron / Quantum roadmap (2025): large NISQ processors + error mitigation + quantum-volume/benchmark results; QEC roadmap targets logical qubits by decade-end.

Q2IonQtrapped-ionstale · re-verifysince 2025-06-01

Q2: #AQ is a benchmark metric, not error-corrected logical operation.

cite: IonQ Forte / #AQ benchmark disclosures (2025): algorithmic-qubit (#AQ) targets and high fidelities; no below-threshold QEC demonstration.

Q2Rigettisuperconductingstale · re-verifysince 2025-01-01

Q2 (early); smaller-scale NISQ.

cite: Rigetti Ankaa-class systems (2024-25): NISQ processors + fidelity milestones; no below-threshold QEC.

Q2Xanaduphotonicstale · re-verifysince 2022-06-01

Q2; sampling-advantage claim tracked in the Advantage Ledger. Old evidence date -> may flag stale (needs re-cite).

cite: Xanadu Borealis (Nature, 2022): programmable photonic Gaussian-boson-sampling 'advantage' claim.

Q1Microsofttopologicalstale · re-verifysince 2025-02-19

Q1 with a contested-evidence flag: a bold claim on disputed physics -> the Board watches whether it survives scrutiny (see advantage/scrutiny discipline).

cite: Microsoft Majorana-1 topological-qubit claim (2025-02): announced a topological qubit; the underlying Majorana evidence is scientifically CONTESTED.

Q1PsiQuantumphotonicstale · re-verifysince 2025-01-01

Q1: building toward FTQC; roadmap-forward, few demonstrated benchmarks -> the canonical roadmap-vs-reality gap.

cite: PsiQuantum roadmap toward a photonic fault-tolerant machine (2024-25); heavy on roadmap, light on demonstrated qubits.

Rungs set conservatively — a qubit-count press release is Q1/Q2; only demonstrated below-threshold QEC earns Q3+. cap.massQ3plus is the honest denominator; Q5 (useful fault-tolerant advantage) remains 0 industry-wide — the real number under the 'quantum breaks encryption' hype.

Research + risk-intelligence, not investment advice, NOT a list of quantum stocks. Froth is computed (see provenance); capability mass is from the citation-gated Board; the Bubble-Radar link is cross-referenced, not re-reported.