Menica Dibenedetto (D.)

Recente publicaties

• Dibenedetto, M. (2026). Canonical quantization of a memristive leaky integrate-and-fire neuron circuit. Physical Review Research, 8(1), Article 013131. https://doi.org/10.1103/y61v-2bxf

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• Lipardi, V., Dibenedetto, M., Stamoulis, G., & Winands, M. H. M. (2026). A Study on Stabilizer Rényi Entropy Estimation using Machine Learning. In 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI) (pp. 159-164). IEEE. https://doi.org/10.1109/QAI63978.2025.00032

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• Lipardi, V., Dibenedetto, D., Stamoulis, G., & Winands, M. H. M. (2025). Quantum Circuit Design using a Progressive Widening Enhanced Monte Carlo Tree Search. Advanced Quantum Technologies, 8(10), Article e2500093. https://doi.org/10.1002/qute.202500093

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• Ntantis, N., Wijnands, J. S., Meirink, J. F., & Dibenedetto, D. (2025). A cross-band transformer on wavelets for pansharpening of satellite imagery. European Journal of Remote Sensing, 58(1), Article 2495314. https://doi.org/10.1080/22797254.2025.2495314

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• de Miranda, B. R., Dibenedetto, D., Neumann, N., & van der Schoot, W. (2025). Quantum variational rewinding for gravitational wave detection. Quantum Machine Intelligence, 7(1), Article 17. https://doi.org/10.1007/s42484-025-00244-w

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• Wijnands, J. S., Ntantis, N., Meirink, J. F., & Dibenedetto, M. (2024). Super-resolution for satellite imagery: uncovering details using a new Cross Band Transformer architecture. In EGU2024 https://doi.org/10.5194/egusphere-egu24-340

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• Nicotra, D., Lucio Martinez, M., de Vries, J. A., Merk, M., Driessens, K., Westra, R. L., Dibenedetto, D., & Cámpora Pérez, D. H. (2023). A quantum algorithm for track reconstruction in the LHCb vertex detector. Journal of Instrumentation, 18(11), Article P11028. https://doi.org/10.1088/1748-0221/18/11/P11028

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• Karimian, M., Dibenedetto, D., Moerel, M., Burwick, T., Westra, R. L., De Weerd, P., & Senden, M. (2020). Erratum: “Effects of synaptic and myelin plasticity on learning in a network of Kuramoto phase oscillators” [Chaos 29, 083122 (2019)]. Chaos, 30(6), Article 069902. https://doi.org/10.1063/5.0013005

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• Karimian, M., Dibenedetto, D., Moerel, M., Burwick, T., Westra, R. L., De Weerd, P., & Senden, M. (2019). Effects of synaptic and myelin plasticity on learning in a network of Kuramoto phase oscillators. Chaos, 29(8), Article 083122. https://doi.org/10.1063/1.5092786

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• Karimian, M., Dibenedetto, M., Moerel, M., De Weerd, P., Burwick, T., & Westra, R. (2017). Effects of Hebbian learning on networks of Kuramoto phase oscillators with time delay. In BMC Neurosci 2017, 18(Suppl 1):60 (Vol. 18, pp. 164-165). BioMed Central. https://doi.org/10.1186/s12868-017-0372-1

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