Detector-Conditioned Dissipative Transition Capacity Theorem for Quantum Speed Limits

Title: Software Suite for "Detector-Conditioned Quantum Speed Limits for Open Systems" Description: This repository contains the official, self-contained software suite accompanying the manuscript "Detector-Conditioned Quantum Speed Limits for Open Systems". It is designed to facilitate rigorous peer review, scientific auditing, and practical application of the theoretical framework presented in the paper. The suite is organized into three primary components: Theory Verification (verify/): Automated scripts that numerically and mathematically verify every theorem, proposition, corollary, and physical inequality derived in the manuscript. This includes checks on uniqueness, subadditivity, complete boundedness, and many-body scaling laws (Lieb-Robinson bounds) across randomized Lindbladian ensembles. Bedrock Reproduction (reproduce/): Standalone scripts to regenerate all figures, data tables, and computational runtime benchmarks from the ground up. This includes exact Lindblad master equation ODE integrations, Transverse Field Ising Model (TFIM) scaling comparisons, and hardware calibration benchmarks for platforms such as IBM Eagle, Google Sycamore, and IonQ Aria. Applied Toolkit (applied/): A practical, framework-agnostic Python API (gamma_engine) allowing experimental scientists and compiler engineers to apply the detector transition capacity ($\Gamma_\omega$) to custom quantum systems. It includes tools for calculating actionable noise budgets, performing $\Gamma_\omega$-aware quantum circuit scheduling optimization, and generating dissipative "noise passports" for real quantum processors. Usage: The suite relies on standard scientific Python libraries (numpy, scipy, matplotlib) with optional integrations for specific quantum frameworks (qutip, qiskit, cirq). Comprehensive instructions for environment setup and execution are provided in the included README.md files.