Dataset for Price Optimization under Cross‑Elastic Demand through Hybrid Quantum Annealing

This repository contains the experimental datasets employed in the evaluation of a hybrid quantum–classical approach for price optimization under elastic demand with cross-item dependencies. The datasets simulate item catalogs with varying levels of complexity, including different numbers of items, admissible price points, profit ranges, and cross-elasticity densities. Each dataset consists of two complementary files: Price dataset: specifies the eligible prices and expected profit for each item. Cross-elasticity dataset: encodes the effect of the price of one item on the profit of another, expressed as percentage variations. Four experimental datasets are provided: Baseline: 10 items, 2–3 prices per item, profit range $100–500, elasticity density 0.8. Small: 50 items, 2–3 prices per item, profit range $100–500, elasticity density 0.8. Medium: 500 items, 2–5 prices per item, profit range $50–1,000, elasticity density 0.7. Large: 2,500 items, 2–5 prices per item, profit range $100–2,000, elasticity density 0.6. The datasets were generated synthetically using a controlled random process to ensure reproducibility across runs, with fixed random seeds. They are designed to reflect realistic catalog structures and interdependencies, while remaining suitable for benchmarking hybrid quantum–classical optimization methods. Intended Use: These datasets can be used to validate and replicate the experiments described in Hybrid Quantum Annealing for Price Optimization under Cross-Elastic Demand, as well as to benchmark alternative quantum or classical optimization strategies in pricing and related combinatorial domains. Format: CSV files (price dataset and cross-elasticity dataset for each experimental scenario).本仓库收录了用于评估混合量子-经典（hybrid quantum–classical）方法的实验数据集，该方法针对存在跨商品依赖的弹性需求场景下的定价优化问题。这些数据集模拟了不同复杂度层级的商品目录，涵盖不同的商品数量、可接受定价点、利润范围以及交叉弹性密度。 每份数据集均包含两个互补文件： 定价数据集（Price dataset）：明确各商品的合格定价与预期利润。 交叉弹性数据集（Cross-elasticity dataset）：编码单个商品的价格对另一商品利润的影响，以百分比变动形式表示。 本次共提供四组实验数据集： 基线（Baseline）：10个商品，单商品定价2~3种，利润范围为100~500美元，弹性密度为0.8。 小型（Small）：50个商品，单商品定价2~3种，利润范围为100~500美元，弹性密度为0.8。 中型（Medium）：500个商品，单商品定价2~5种，利润范围为50~1000美元，弹性密度为0.7。 大型（Large）：2500个商品，单商品定价2~5种，利润范围为100~2000美元，弹性密度为0.6。 本数据集通过受控随机流程人工生成，并采用固定随机种子以确保不同运行间的可复现性。其设计旨在贴合真实的商品目录结构与商品间依赖关系，同时适用于混合量子-经典优化方法的基准测试。 预期用途：本数据集可用于验证与复现《跨弹性需求场景下定价优化的混合量子退火》（Hybrid Quantum Annealing for Price Optimization under Cross-Elastic Demand）一文中所述的实验，同时可用于基准测试定价及相关组合优化领域中的替代量子或经典优化策略。 数据格式：所有文件均为CSV格式，每组实验场景对应一份定价数据集与一份交叉弹性数据集。