Quantum Advantage Simulator
Exact where possible. Learned where useful. Quantum where justified.
Under controlled budgets, where do exact simulation, learned states and variational algorithms actually help?
INTERACTIVE WORKFLOW
QAS / a controlled comparison
An interactive explanation of the documented simulator studies. Signals are illustrative. The release reports no demonstrated quantum advantage or real-hardware speedup.
Problem configuration
Specify Hamiltonians, graphs or target states, seeds and resource budgets.
Pinned configuration
Read the complete workflow
- Problem configuration
Specify Hamiltonians, graphs or target states, seeds and resource budgets.
Documented implementation · Output: Pinned configuration - Algorithm selection
Choose the relevant exact, learned-state or variational study. These are distinct comparisons, not one universal algorithm.
Documented implementation · Output: Selected study - Simulation
Run bounded small-system simulations. Dense references anchor accuracy; research modules use optional dependencies.
CPU studies reported · Output: Simulation output - Measurement
Collect energy, fidelity or finite-shot outcomes as appropriate to the study.
Repository-reported evidence · Output: Study-specific measurements - Baseline comparison
Compare against exact references or budget-matched alternatives; retain failure cases.
No general advantage shown · Output: Controlled comparisons - Report
Save seed statistics, configuration provenance and checksum manifests for read-only inspection.
Documented implementation · Output: Evidence archive + report
What the study tests
Approximation quality may depend on ansatz, initialization and budget; mitigation may help only after accounting for shot overhead. These are bounded simulator questions, not an advantage claim.
Methodology and algorithms
A reproducible framework compares neural quantum states, VQE, noise mitigation, QAOA and circuit search against explicit references.
Controls and comparisons
Retain failed optimization and harmful mitigation outcomes. Track configuration, seed and resource provenance, and distinguish simulator studies from hardware experiments.
What the results say
The v0.1.0 README reports 569 records across seven small-system CPU studies. No quantum advantage is demonstrated. These results are repository-reported, not independently reproduced here.
Where the evidence ends
CUDA and IBM QPU experiments were not executed for the release. Small-system comparisons do not establish a scaling advantage.
Tests and validation
The report records 569 new controlled jobs and retains historical failures. Exact diagonalization anchors energy/fidelity comparisons; mitigation includes an equal-total-shot raw baseline. Scientific tests compare Hamiltonians against QuTiP.
Reproduce the investigation
Follow the final report and committed configurations/checksum manifests. Retain seeds, resource provenance and failed rows. Distinguish exact-reference construction time from method evaluation time; CPU memory measurements are not directly interchangeable across historical studies.
Source reviewed 17 October 2026. Summaries describe repository evidence; they do not assert sole authorship or independent reproduction.
Read the source documentation ↗Credit belongs to the repository’s contributors. Account or organization ownership does not establish sole authorship; individual contribution boundaries have not been verified.