Research track · Research infrastructure
Reproducible simulation & benchmarking
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Live todayBenchmark your own device
TodayUseful todayResearchResearch on noisy hardwareLaterFault-tolerant era
Why this horizon. Reproducibility is a software and metadata problem; it pays off today, before any hardware advantage.
- The problem
- Published quantum benchmarks often omit hardware, versions, precision, or noise settings.
- Why quantum or hybrid methods may be relevant
- Comparison is the prerequisite for any claim about speed or quality.
- Classical baseline
- Best available classical simulator on documented hardware.
- What QAISS could provide
- A public benchmark protocol, scripts, and manifests.
- What evidence would count as success
- Independent parties reproduce results within stated tolerances.
- Limitations & open questions
- Results are specific to hardware, versions, and workloads; they do not generalize automatically.
- Current status
- Planned No experiments have been published for this track yet.
Workflow on QAISS
From question to checkable result.
- STEP 1
Fix the workload: circuit, shots, seed, noise model — hashed into a passport.
- STEP 2
Run it on two or more backends (browser, CPU reference, tensor network, QPanda3).
- STEP 3
Compare outputs bit-for-bit (simulators) or by total-variation distance (hardware).
- STEP 4
Publish the passports to the registry so anyone can recheck them.
Sources
Read the literature.
Cited for context. QAISS is not affiliated with the authors or publishers.
No quantum advantage, production savings, medical benefit, financial return, or security guarantee is claimed for this track.