Francesco Petruccione

Papers

Papers

  • Petruccione, F., Adams, B. & Sinayskiy, I. Entanglement and coherence in pure and doped Posner molecules. Bulletin of the American Physical Society (2024).

    • Petruccione, F. Education across continents: the NITheCS way. Bulletin of the American Physical Society (2024).

    • Pellow-Jarman, R., Pillay, A., Sinayskiy, I. & Petruccione, F. Hybrid genetic optimization for quantum feature map design. Quantum Mach. Intell. 6, 45 (2024).

    • Mittal, S. et al. Design and performance analysis of a novel hoop-cut SPR-PCF sensor for high sensitivity and broad range sensing applications. IEEE Sensors Journal (2023).

    • Pillay, S. M., Sinayskiy, I., Jembere, E. & Petruccione, F. A Multi‐Class Quantum Kernel‐Based Classifier. Adv Quantum Tech 7, 2300249 (2024).

    • Pellow-Jarman, A. et al. The effect of classical optimizers and Ansatz depth on QAOA performance in noisy devices. Scientific Reports 14, 16011 (2024).

    • McFarthing, S., Pillay, A., Sinayskiy, I. & Petruccione, F. Classical ensembles of single-qubit quantum variational circuits for classification. Quantum Mach. Intell. 6, 81 (2024).

    • Lautenbacher, L., Jagadish, V., Petruccione, F. & Bernardes, N. K. Petz recovery maps for qudit quantum channels. Physics Letters A 512, 129583 (2024).

    • Brand, D., Sinayskiy, I. & Petruccione, F. Markovian noise modelling and parameter extraction framework for quantum devices. Scientific Reports 14, 4769 (2024).

    • Slabbert, D. & Petruccione, F. Hybrid Quantum-Classical Feature Extraction approach for Image Classification using Autoencoders and Quantum SVMs. Preprint at http://arxiv.org/abs/2410.18814 (2024).

    • Slabbert, D., Lourens, M. & Petruccione, F. Pulsar classification: comparing quantum convolutional neural networks and quantum support vector machines. Quantum Mach. Intell. 6, 56 (2024).

    • Pleasance, G. & Petruccione, F. Nonequilibrium quantum heat transport between structured environments. Preprint at http://arxiv.org/abs/2403.13904 (2024).

    • Mehta, V., Petruccione, F. & Roy, U. Quantum Optical Approach to the $K$ Nearest Neighbour Algorithm. Preprint at http://arxiv.org/abs/2404.12033 (2024).

    • Karabo, K., Sekga, C., Kissack, C., Mafu, M. & Petruccione, F. A novel quantum key distribution resistant against large‐pulse attacks. IET Quantum Communication 5, 282–290 (2024).

    • Galván, I., Hassasfar, A., Adams, B. & Petruccione, F. Isotope effects on radical pair performance in cryptochrome: A new hypothesis for the evolution of animal migration: The quantum biology of migration. BioEssays 46, 2300152 (2024).

    • David, I. J., Sinayskiy, I. & Petruccione, F. Digital simulation of convex mixtures of Markovian and non-Markovian single qubit Pauli channels on NISQ devices. EPJ Quantum Technol. 11, 14 (2024).

    • Digital simulation of convex mixtures of Markovian and non-Markovian single qubit Pauli channels on NISQ devices, IJ David, I Sinayskiy, F Petruccione, EPJ Quantum Technology 11 (1), 1-26 (2024)

    • Pulsar classification: comparing quantum convolutional neural networks and quantum support vector machines, D Slabbert, M Lourens, F Petruccione, Quantum Machine Intelligence 6 (2), 56 (2024)

    • Hybrid genetic optimization for quantum feature map design; R Pellow-Jarman, A Pillay, I Sinayskiy, F Petruccione; Quantum Machine Intelligence 6 (2), 45 (2024)

    • Classical ensembles of single-qubit quantum variational circuits for classification; S McFarthing, A Pillay, I Sinayskiy, F Petruccione; Quantum Machine Intelligence 6 (2), 81 (2024)

    • Petz recovery maps for qudit quantum channels; L Lautenbacher, V Jagadish, F Petruccione, NK Bernardes; Physics Letters A 512, 129583 (2024)