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Banchi, L., Quesada, N., & Arrazola, J. M. (2020). Training Gaussian boson sampling distributions. Physical Review A, 102(1), 012417. Lien externe
Bromley, T. R., Arrazola, J. M., Jahangiri, S., Izaac, J., Quesada, N., Gran, A. D., Schuld, M., Swinarton, J., Zabaneh, Z., & Killoran, N. (2020). Applications of near-term photonic quantum computers: software and algorithms. Quantum Science and Technology, 5(3), 034010. Lien externe
Gupt, B., Arrazola, J. M., Quesada, N., & Bromley, T. R. (2020). Classical benchmarking of Gaussian Boson Sampling on the Titan supercomputer. Quantum Information Processing, 19(8), 249-249. Lien externe
Jahangiri, S., Arrazola, J. M., Quesada, N., & Delgado, A. (2020). Quantum algorithm for simulating molecular vibrational excitations. Physical Chemistry Chemical Physics, 22(44), 25528-25537. Lien externe
Jahangiri, S., Arrazola, J. M., Quesada, N., & Killoran, N. (2020). Point processes with Gaussian boson sampling. Physical Review E, 101(2), 022134. Lien externe
Quesada, N., & Arrazola, J. M. (2020). Exact simulation of Gaussian boson sampling in polynomial space and exponential time. Physical Review Research, 2(2), 023005. Lien externe
Killoran, N., Bromley, T. R., Arrazola, J. M., Schuld, M., & Quesada, N. (2020). Apparatus and methods for quantum computing and machine learning. (Demande de brevet no US20200401920). Lien externe
