Eve Count Quantum Systems · 07 · Benchmarking without vendor hype. Select the architectural plate to inspect full size.

07 · Benchmarking without vendor hype

Never let a solver vendor grade their own homework.

When evaluating any quantum, quantum-inspired, or hybrid optimization platform, Eve Count enforces a hardware-agnostic release gate (evaluate_release_gate). A candidate solver is only approved for pilot progression if it simultaneously satisfies three non-negotiable criteria:

1. 100% Hard-Constraint Feasibility: Zero unpenalized constraint violations on out-of-sample operational snapshots.
2. End-to-End SLA Compliance: Total wall-clock latency (including network, compilation/embedding, and post-processing) within sla_budget_ms.
3. Material Basis-Point Uplift: Verified improvement over the tuned classical baseline exceeding min_uplift_bps (e.g., +150 bps or +1.5% net objective gain).

Running the automated release gate

from examples.combinatorial_triage import demo_scenario, evaluate_release_gate

triage, greedy_res, qubo_res, gate = demo_scenario()
assert gate.approved_for_pilot is True
assert gate.uplift_bps == 1500.0
print(gate.summary)

# Now simulate a solver that takes 2,400ms on a 1,500ms operational SLA:
rejected_gate = evaluate_release_gate(
    classical=greedy_res,
    candidate=qubo_res,
    latency_ms=2400,
    sla_budget_ms=1500,
    min_uplift_bps=150.0,
)
assert rejected_gate.approved_for_pilot is False
assert "latency_2400ms_exceeds_sla_1500ms" in rejected_gate.failed_checks
print(rejected_gate.summary)

Try with your AI coding assistant

Ask your assistant: "Extend evaluate_release_gate to also compute the annual dollar value of uplift_bps given an enterprise's annual throughput volume and compare it against annual solver licensing cost."

Checkpoint

You now have an automated, vendor-neutral release gate in Python that turns subjective PoC presentations into an objective Approve / Hold engineering decision.