Industry benchmarks

The published reference beside Merlin, industry by industry.

Nine industries. For each: the application, the published reference (sourced and dated), the Merlin figure with its status, and the baseline it was checked against. Published figures belong to their authors and are quoted for comparison; they are not our measurements. Partners are not named.

Semiconductors & advanced materialsEUV photoresist screening

Published reference

Published device runs on the same photoresist chemistry: 14 and 22 qubits.

Sources: arXiv:2607.23988 (2026)

Merlin

4/4 candidates ranked correctly on hardware · 40-qubit chemistry model · training 173 GPU-hours → minutes

Measured on quantum hardwareClassical computation

Baseline

Exact reference energies; the published method's training cost

Energy & utilitiesTransmission expansion planning

Published reference

Unit commitment at 25,755 variables and 48,939 constraints ran feasibly on a photonic QPU, with a commercial MILP solver ahead at short runtimes; generation scheduling at 26 generators × 24 periods on 36 trapped-ion qubits, no optimality proof.

Sources: arXiv:2505.00145 · platform-network results, 2025–26

Merlin

Optimum proven over 1,048,576 plans · reduced-order model 9% worse on the same QPU · network response to 8 time steps on 156 qubits

Classical computationMeasured on quantum hardware

Baseline

Exhaustive classical search; the full model on the same machine

Published reference

No published production-scheduling result on quantum hardware at industrial scale; visible results are challenge prototypes.

Sources: arXiv:2411.10303

Merlin

6 h → 1 min across 100+ grades, in production (classical optimisation, platform network)

Platform network

Baseline

The plant's prior manual and spreadsheet planning

Mobility & automotiveAutonomous-driving safety validation · traffic signal coordination

Published reference

Nonlinear flow on superconducting hardware reaches 15 time steps; vehicle routing on device reaches 3 nodes.

Sources: IBM Heron R3, 2026 · arXiv:2504.01567 · arXiv:2509.11469

Merlin

95.6% vs 39.5% safe episodes · 20% less waiting at signals (proof of concept)

Measured on quantum hardwareClassical computationPlatform network

Baseline

White-noise disturbance model; conventional signal timing

TelecomCarrier aggregation optimisation

Published reference

Published telecom figures in the field state a percentage with no baseline and no date.

Sources: public vendor and operator announcements, undated

Merlin

+10% average downlink on a live network, no added hardware (quantum-inspired, platform network)

Platform network

Baseline

The network operator's existing carrier-aggregation settings

Pharma & life sciencesAllosteric site prediction

Published reference

Peptides of 14–16 residues folded on 46–61 trapped-ion qubits reach the classical reference energy on some instances.

Sources: arXiv:2604.26861

Merlin

AUC 0.89 on an independent biological benchmark · site energetics within 1.4% of reference

Measured on quantum hardwareClassical computation

Baseline

Exact references; an independent biological benchmark

FinanceCorrelated-risk detection

Published reference

Portfolio optimisation benchmark instances are solved to proven optimality by MIP solvers in seconds; the one notable hardware result (corporate-debt fills, 2025) is unreproduced.

Sources: arXiv:2509.17876

Merlin

72% of a 14-entity ring's correlated exposure invisible to pairwise models, measured on 14 qubits

Measured on quantum hardwareClassical computation

Baseline

A pairwise correlation model of the same ring

Security & critical infrastructurePost-quantum migration planning

Published reference

Lattice attacks on hardware run at dimension 7 against classical sieving beyond 180; the 2024 polynomial-time claim was withdrawn by its author.

Sources: arXiv:2006.14057 · arXiv:2604.27153

Merlin

A dated risk window per cipher, central 2030–31, range 2028–34

Our assessment

Baseline

Published resource estimates and error-rate requirements

Aerospace & sovereign programmesCFD acceleration roadmap · on-premise quantum

Published reference

Most application methods need about 100 physical qubits before returning anything; national programmes own 5–25-qubit machines.

Sources: published resource requirements across the application layer

Merlin

Fixed-depth circuits on the installed machine · crossover projected at ~93 logical qubits

ProjectionMeasured on quantum hardware

Baseline

The measured cost law; the installed machine's size

How to read a row

Three columns, no slogans

Published reference is what has been published, with its arXiv id or lab and year. Merlin is our figure with its status tag. Baseline is what the figure was measured against.

  • Measured on quantum hardware: read on a quantum processor.
  • Classical computation: CPUs and GPUs, including proven-optimal searches.
  • Projection: forward from a measured law, not a measurement.
  • Judged result: an independent panel's decision.
  • Platform network: delivered through our platform network, partner and client not named, quoted as published.

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