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About this paper
Alberto Marchisio, Hanzalah Mohamed Siraj, Muhammad Kashif, Nouhaila Innan, Muhammad Shafique
The authors evaluate photonic hybrid quantum neural networks for next-day market-direction prediction, varying photon states, circuit topologies, entangling models, and measurements across markets. AUC distributions are broad, with median performance near 0.5 random-ranking reference. At a 1% threshold, S&P 500 Simple/Fock configurations average 0.565 AUC versus 0.500 for Phase-only/Fock; these simulation results do not establish a universal winner or hardware performance.
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