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.
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.
| System | Modality | Threat | Readiness | Fidelity gate | EC signal | Input confidence |
|---|---|---|---|---|---|---|
| Google WillowReleased 2024 | superconducting | 8.36 | 86.7% | 100% | 100% | high |
| IBM Heron r2Released 2024 | superconducting | 0.00 | 30.5% | 58% | 15% | low |
| Quantinuum H2-1Released 2024 | trapped_ion | 0.00 | 36.0% | 75% | 15% | low |
| IonQ ForteReleased 2023 | trapped_ion | 0.00 | 32.8% | 69% | 15% | low |
| IQM GarnetReleased 2024 | superconducting | 0.00 | 30.9% | 66% | 15% | medium |
| Atom Computing next-gen (1,225-site array)Released 2023 | neutral_atom | 0.00 | 37.8% | 69% | 15% | low |
| Rigetti Ankaa-3Released 2024 | superconducting | 0.00 | 26.4% | 50% | 15% | low |
| USTC (Zuchongzhi) Zuchongzhi 3.0Released 2025 | superconducting | 0.00 | 34.6% | 70% | 15% | medium |
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.
| System | Modality | Why not scored |
|---|---|---|
| QuEra Aquila | neutral_atom | analog_not_gate_model |
| Pasqal Orion Alpha | neutral_atom | analog_not_gate_model |
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.
Challenge a number.
A sourced correction improves every subsequent refresh. Concrete beats polite.
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.