QIRT Benzene Ring Hardware Benchmark Dataset (IBM Sherbrooke, July 2025)

This dataset provides the raw hardware outputs, circuit details, and analysis results from experimental demonstrations of Quantum Information Refinement Theory (QIRT) applied to a 6-qubit benzene ring model, executed on the IBM Sherbrooke quantum processor in July 2025. QIRT introduces a new class of quantum algorithms designed to preserve and refine quantum delocalization, coherence, and symmetry beyond what is achievable with standard VQE or chemistry methods. The dataset includes: The exact OpenQASM circuit (MOLE.qasm) used for the experiment. Raw job metadata and bitstring result files from the IBM QPU. A grouped symmetry-class CSV and supporting Python scripts for reproducibility and entropy analysis. Device calibration files for full auditability. Key results include a symmetry entropy of 5.51 bits (out of 5.93 maximum), confirming near-ideal quantum delocalization and ring symmetry in hardware—an unprecedented achievement in quantum chemistry simulation. All data is released for scientific benchmarking and transparency under the Creative Commons Attribution 4.0 International License.The underlying QIRT method, algorithms, and software are protected by US Provisional Patent Application 63/826,473 and the Business Source License 1.1 (BSL 1.1).Commercial or research integration of QIRT algorithms, code, or firmware is strictly prohibited without written permission.