Quantum threat timeline · continuously refreshed

How close is quantum hardware to breaking RSA-2048?

A 0–100 score measuring distance to a published resource estimate, computed from vendor specifications and peer-reviewed papers rather than press releases. The headline is the field frontier — the highest score anyone currently holds — not a named winner. The table names every machine and its own score.

Anchor
Target
RSA-2048
Logical qubits
4,000
Physical qubits
1,000,000
Runtime
<1 week
Confidence
peer reviewed
Frontier threat score
8.36/100
Confidence band 4.18–8.36
Systems scored
8
Plus 2 marked N/A — a category difference, not a low score
Composite industry
1.04/100
Mean across every scored system, not the frontier
Below threshold
1
Systems with a demonstrated below-threshold error-correction result
Why the number is this low, and why that is the honest answerThe score is a multiplicative gate: logical capacity × fidelity gate × error-correction signal. Any component at zero takes the whole score to zero, because breaking RSA requires all of them — there is no “mostly there.” Today no system holds standing, error-corrected logical qubits, so the threat column reads near zero across the board. Readiness is a separate axis and is not distance to breaking RSA — it tracks preconditions assembled. A machine can sit at 80% readiness and zero threat at the same time, which is the honest state of most of the field. We do not publish a projected Q-Day year; a projection is only as good as its trajectory model, and ours is not yet defensible enough to publish.
The anchor is a moving target, and that cuts both waysThis score measures distance to Gidney 20251,000,000 physical qubits, <1 week. The previous published estimate, Gidney+Ekera 2019, put it at 20,000,000 physical qubits (2019-05). That is roughly a 20× reduction in the requirement in about six years — from algorithmic improvement, not from better hardware. A score against a fixed target would have looked like progress that never happened. If the estimate moves again, every number on this page moves with it, and we will say so rather than quietly restate the scale. Prior estimate ↗ Current anchor ↗
Per-system scoring

Every machine, named, with its own inputs.

Fidelity is deliberately not presented as a ranking — an XEB figure and a median-ECR figure are not the same physical quantity.

SystemModalityThreatReadinessFidelity gateEC signalInput confidence
Google WillowReleased 2024superconducting8.3686.7%100%100%high
IBM Heron r2Released 2024superconducting0.0030.5%58%15%low
Quantinuum H2-1Released 2024trapped_ion0.0036.0%75%15%low
IonQ ForteReleased 2023trapped_ion0.0032.8%69%15%low
IQM GarnetReleased 2024superconducting0.0030.9%66%15%medium
Atom Computing next-gen (1,225-site array)Released 2023neutral_atom0.0037.8%69%15%low
Rigetti Ankaa-3Released 2024superconducting0.0026.4%50%15%low
USTC (Zuchongzhi) Zuchongzhi 3.0Released 2025superconducting0.0034.6%70%15%medium
Not scored

Systems outside the gate model.

Analog simulators have no gate-model two-qubit fidelity and no gate-model path to Shor's. Marked N/A rather than scored zero.

SystemModalityWhy not scored
QuEra Aquilaneutral_atomanalog_not_gate_model
Pasqal Orion Alphaneutral_atomanalog_not_gate_model
Sourcing

Where every figure comes from.

Peer-reviewed publications and official vendor technical documents only. Where a press release disagrees with a published figure, the published figure wins.

Corrections

Challenge a number.

A sourced correction improves every subsequent refresh. Concrete beats polite.

Invite scrutiny

See a number you disagree with?

This index is only as good as the scrutiny it survives. If a spec is wrong, a source is weak, a method tag is misapplied, or a system is missing — tell us. Concrete corrections improve every subsequent run. For long-form critique or anything you want a public record of, open a GitHub Issue instead.

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