Retail demand forecasting is tested on a real Salumeria department-level aggregated series using 604 observed trading days. The study separates an application benchmark from diagnostic controls: full-feature classical models are compared with a feasible four-qubit VQC pipeline, while matched-input controls help assess where performance deteriorates without claiming quantum advantage.
Muratore, A.; Aiello, G.; Quaranta, S.; Carollo, F. (31/08/2026).Multi-Horizon Retail Demand Forecasting: A Department-Level Pilot and a Four-Qubit Quantum Test.
Multi-Horizon Retail Demand Forecasting: A Department-Level Pilot and a Four-Qubit Quantum Test
ALESSANDRO MURATOREPrimo
;GIUSEPPE AIELLOSecondo
;SALVATORE QUARANTAPenultimo
;FILIPPO CAROLLOUltimo
Abstract
Retail demand forecasting is tested on a real Salumeria department-level aggregated series using 604 observed trading days. The study separates an application benchmark from diagnostic controls: full-feature classical models are compared with a feasible four-qubit VQC pipeline, while matched-input controls help assess where performance deteriorates without claiming quantum advantage.File in questo prodotto:
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EQAI_2026_Retail_Demand_Quantum_AI_Poster_A1_final_submission_print_request.pdf
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