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Advanced · technicalPaste your raw circuit metrics (qubit count, depth, 2-qubit gates) and Qlro ranks every device. For domain users, the industry workloads entry point is faster — pick a business problem and we generate the circuit for you.
Your Workload Spec
WCPP Pipeline
Your Workload Requirements
What your workload asks for across the 4 capability axes
Dominant axis: Φ (Coherence) at 39%
Device Match
How each device's capabilities fit your requirements
H2-2
quantinuum · 56Qibm_boston
ibm · 156QH2-2 leads on Φ (Coherence) — the dominant axis for this workload (39% weight). Its coherence score (0.75) is 77% higher than ibm_boston.
Total fit score is 1.34× higher than the next alternative. Under the WCPP geometric mean, this gap reflects compound advantages across multiple axes — not a single metric.
Export this recommendation as a signed PDF
Freeze the current inputs + ranking + reasoning + Metriq snapshot provenance into an immutable decision record with a citable URL. Procurement / audit / research-justification workflows can attach the PDF to demonstrate how the device choice was made.
H2-2 has partially estimated axis values (population priors). Actual performance may differ. Validate empirically before committing.