DSC-3 vs D-Wave Advantage2 — Industrial Benchmark Comparison (2024–2026)

v0.15.1-paper CC-BY-4.0 40 pp SHA-256 manifest

A reproducible classical reference for D-Wave Advantage2's 2024–2026 industrial benchmarks. Ground-state 3D ±J Ising at N = 106 spins on a $1.57/hour GPU droplet, with SHA-256-pinned artefacts and a "Benchmark Gap" audit of D-Wave's published reproducibility deficits.

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Headline findings

AxisD-Wave Advantage2DSC-3 (this work)Ratio
Max embeddable problem4,400 qubits1,000,000 (droplet, n=4 seeds)~227×
Hardware capex$10–15M list$1.57/hour droplet104–105×
Power continuous12.5 kW0.30 kW (GPU TDP)42×
$/solve at N=1,728$0.05–$1.30 (Leap floor)$0.024102–105×
3D EA quality vs Hartmann (2001)sampling, not GS±1% at L≤40 production presetmatched
MaxCut Δ vs SA at N=10,000not embeddable+0.13–0.20%, σ ≤ 0.02%DSC-3 only
Cryptanalysis (SHA/AES/RSA/GNFS)not addressedproduction encodersDSC-3 only
Quantum-coherent samplingyes (Science 2025)no (classical engine)D-Wave only

Six benchmarks covered

BenchD-Wave referenceDSC-3 result
B1 3D ±J IsingKing et al. Science 2025 (sampling, N≈5000)Ground-state arg-min, N ≤ 106, ±1% Hartmann at L≤40
B2 Currency arbitrageCococcioni et al. 2025 (Advantage2 Prototype 2.6)Hamiltonian-cycle variant; 100% feas at N≤8; +5–22% recovered profit
B3 Stride 45-instance + extensionBooth et al. 2024 (10× metaheuristic claim)Matched-spec ensembles + N=5k/10k beyond-embedding probe (σ error bars)
B4 SCM (5 verticals)SCM survey 2025–2026 (12–18% cost reduction)UFL (1 of 5); +5–30% gap to exact DP
B5 Drug discovery + PoQWJT/D-Wave LLM-molecular-generation; PoQW conceptualFragment-selection sub-problem (0–5% gap); r=4 SHA-256 preimage
B6 Cryptanalysis differentiatorno D-Wave publicationSHA-256 / AES / RSA-256 BD / GNFS Phase C+ encoders

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Authors: Bryan W. Daugherty, Gregory Ward, Shawn Ryan — Origin Neural — originneural.ai
Companion paper: DSC-3 Benchmark Suite: 500 Million Spins on a Single GPU.