Finite-Precision Value Registers in Grover-Adaptive Search: reproducibility package

Reproducibility package for the article Finite-Precision Value Registers in Grover-Adaptive Search: Resource Scaling, Landscape Dependence, and the Limits of Cost Prediction. The package contains a state-vector simulator for amplitude amplification, an m-qubit value-register oracle implemented by quantum-Fourier-transform phase arithmetic with transpiled gate counting, generators for quadratic unconstrained binary optimisation instance families, threshold-oracle Grover-adaptive search with schedule variants compared under metered information access, a gate-weighted cost model, a statistical toolkit, and a machine-checked claim-verification harness. Every figure and table in the article is regenerated by the included scripts. All randomness derives from a single master seed, so the reported numbers reproduce exactly. The package depends only on NumPy, SciPy, matplotlib, pandas and Qiskit, requires no network access and no dataset, and completes in approximately 30 seconds on a single core. Attribution. Part of the simulator derives from the Reduced Quantum Genetic Algorithm reference implementation released by R. Lahoz-Beltra alongside Quantum Genetic Algorithms for Computer Scientists, Computers 5(4), 24 (2016). The adapted and original components are itemised in the README.

Hali tarjima qilinmagan