Charilaos C. Zarakovitis — accepted AI-conference papers

2025

Quantum Neural Networks: A Path to Lower Emissions Through Fuel Consumption Prediction in Shipping

So Fong Chien, Julien J. M. Hermans, Austin A. Kana, Charilaos C. Zarakovitis, Stathis Zavvos, H. S. Lim

ICASSP 2025accepted

This paper proposes Quantum Neural Networks (QNNs) as a data-driven approach for predicting fuel consumption. We utilize various layer architecture designs available in the Torchquantum framework, including both entangled and non-entangled circuit designs. In general, QNNs can achieve comparable Roo…

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2024

Applying Hybrid Quantum LSTM for Indoor Localization Based on RSSI

Su Fong Chien, David Chieng, Samuel Y. C. Chen, Charilaos C. Zarakovitis, Heng Siong Lim, Y. H. Xu

ICASSP 2024accepted

A recent study showcased the efficacy of Long Short-Term Memory (LSTM) in significantly reducing average indoor localization Root Mean Square Error (RMSE). Motivated by the superior performance of quantum algorithms, we explore Quantum LSTM (QLSTM) for indoor localization, leveraging a variational q…

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