Benchmarking & Insights

Benchmarking & Insights

Evidence, not vendor claims

Compare quantum, quantum-inspired and classical solvers on the same problem and data, with results that stay comparable over time.

Job benchmark radar comparing three solvers across quality, time and cost metrics on the same problem and data

Benchmarking & Insights is where teams compare quantum, quantum-inspired and classical solvers on the QCentroid QuantumOps platform.

Every solver runs on the same problem, data and conditions, and results show solution quality, runtime and cost together, with full logs and a history that stays comparable as hardware evolves. Decisions rest on evidence rather than vendor claims.

  • Telefónica
  • Mahou San Miguel
  • MasOrange
  • GSMA
  • Moeve
  • Moody's
  • Sabadell BStartup
  • BiQain
  • BackFund
  • QAI Ventures
  • CDL
  • Telefónica
  • Mahou San Miguel
  • MasOrange
  • GSMA
  • Moeve
  • Moody's
  • Sabadell BStartup
  • BiQain
  • BackFund
  • QAI Ventures
  • CDL

What is Benchmarking & Insights?

Apples to apples

Same problem, same data, same metrics.

Beyond one number

Quality, speed and cost, side by side.

Fully traceable

Logs and artefacts kept for every run.

Features

What can you do with Benchmarking & Insights?

Five tools for the results of every run: compare them, analyse them, trace them, download them and track them over time.

Side-by-Side Solver Comparison

Run two solvers on the same problem and data and compare them directly.

  • Same use case, dataset and conditions
  • Quantum, quantum-inspired and classical, on equal footing
  • Clear comparison per metric

Why it mattersA fair comparison is the only way to know if quantum adds value for your problem.

Job benchmark radar comparing three solvers across quality, time and cost metrics on the same problem and data
Job benchmark radar comparing three solvers across quality, time and cost metrics on the same problem and data

Job Insights

Analyse every job across multiple metrics, from solution quality to runtime and cost.

  • Business and technical metrics per run
  • Charts across solvers and datasets
  • Output metrics specific to each use case

Why it mattersA single score hides trade-offs. Decisions need the full picture.

Job insights: solvers plotted against execution time and cost with the most attractive quadrant and Pareto line
Job insights: solvers plotted against execution time and cost with the most attractive quadrant and Pareto line

Execution Logs

Full logs for every solver execution, so you can see exactly how each result was produced.

  • Complete log for every run
  • Errors and warnings easy to trace
  • Evidence ready for audit and review

Why it mattersWhen a result matters, you can show exactly how it was produced.

Execution logs of a solver run with a download button, next to the job cost details and cost breakdown
Execution logs of a solver run with a download button, next to the job cost details and cost breakdown

Job Assets

Download the result files each run produces, from raw outputs to charts and reports, and reuse them wherever you need them.

  • Output files, charts and reports per job
  • Downloadable and shareable with stakeholders
  • Kept with the job for later comparison

Why it mattersResults leave the platform in a form business and technical teams can actually use.

Benchmark History

Leaderboards with a timeline, so results stay comparable as solvers and hardware evolve.

  • Leaderboards per use case
  • Performance tracked over time
  • New runs compared with past bests

Why it mattersHardware improves fast. History shows when a solver crosses the line that matters to you.

Use case benchmarking: summary, solvers and charts of solve time and cost against problem size across benchmarking jobs
Use case benchmarking: summary, solvers and charts of solve time and cost against problem size across benchmarking jobs

Benchmarking & Insights

Make quantum decisions on evidence

Fair comparisons, full traceability.

Use case benchmarking: summary, solvers and charts of solve time and cost against problem size across benchmarking jobs