| Pennylane: Automatic differentiation of hybrid quantum-classical computations V Bergholm, J Izaac, M Schuld, C Gogolin, S Ahmed, V Ajith, MS Alam, ... arXiv preprint arXiv:1811.04968, 2018 | 1133 | 2018 |
| Quantum computational advantage with a programmable photonic processor LS Madsen, F Laudenbach, MF Askarani, F Rortais, T Vincent, ... Nature 606 (7912), 75-81, 2022 | 928 | 2022 |
| Quantum circuits with many photons on a programmable nanophotonic chip JM Arrazola, V Bergholm, K Brádler, TR Bromley, MJ Collins, I Dhand, ... Nature 591 (7848), 54-60, 2021 | 589 | 2021 |
| Continuous-variable quantum neural networks N Killoran, TR Bromley, JM Arrazola, M Schuld, N Quesada, S Lloyd Physical Review Research 1 (3), 033063, 2019 | 481 | 2019 |
| Strawberry fields: A software platform for photonic quantum computing N Killoran, J Izaac, N Quesada, V Bergholm, M Amy, C Weedbrook Quantum 3, 129, 2019 | 359 | 2019 |
| Broadband quadrature-squeezed vacuum and nonclassical photon number correlations from a nanophotonic device VD Vaidya, B Morrison, LG Helt, R Shahrokshahi, DH Mahler, MJ Collins, ... Science advances 6 (39), eaba9186, 2020 | 165 | 2020 |
| Applications of near-term photonic quantum computers: software and algorithms TR Bromley, JM Arrazola, S Jahangiri, J Izaac, N Quesada, AD Gran, ... Quantum Science and Technology 5 (3), 034010, 2020 | 134 | 2020 |
| Gaussian boson sampling using threshold detectors N Quesada, JM Arrazola, N Killoran Physical Review A 98 (6), 062322, 2018 | 128 | 2018 |
| Effects of time ordering in quantum nonlinear optics N Quesada, JE Sipe Physical Review A 90 (6), 063840, 2014 | 120 | 2014 |
| Quantum computational advantage via high-dimensional Gaussian boson sampling A Deshpande, A Mehta, T Vincent, N Quesada, M Hinsche, M Ioannou, ... Science advances 8 (1), eabi7894, 2022 | 111* | 2022 |
| Regimes of classical simulability for noisy Gaussian boson sampling H Qi, DJ Brod, N Quesada, R García-Patrón Physical review letters 124 (10), 100502, 2020 | 93 | 2020 |
| A faster hafnian formula for complex matrices and its benchmarking on a supercomputer A Björklund, B Gupt, N Quesada Journal of Experimental Algorithmics (JEA) 24, 1-17, 2019 | 90 | 2019 |
| The Walrus: a library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling. B Gupt, J Izaac, N Quesada Journal of Open Source Software 4 (44), 1705, 2019 | 82 | 2019 |
| Simulating realistic non-Gaussian state preparation N Quesada, LG Helt, J Izaac, JM Arrazola, R Shahrokhshahi, CR Myers, ... Physical Review A 100 (2), 022341, 2019 | 81 | 2019 |
| Quantum correlations in optical metrology: Heisenberg-limited phase estimation without mode entanglement J Sahota, N Quesada Physical Review A 91 (1), 013808, 2015 | 79 | 2015 |
| Universal quantum circuits for quantum chemistry JM Arrazola, O Di Matteo, N Quesada, S Jahangiri, A Delgado, N Killoran Quantum 6, 742, 2022 | 76 | 2022 |
| Exact simulation of Gaussian boson sampling in polynomial space and exponential time N Quesada, JM Arrazola Physical Review Research 2 (2), 023005, 2020 | 68 | 2020 |
| Scalable squeezed-light source for continuous-variable quantum sampling Z Vernon, N Quesada, M Liscidini, B Morrison, M Menotti, K Tan, JE Sipe Physical Review Applied 12 (6), 064024, 2019 | 63 | 2019 |
| Why you should not use the electric field to quantize in nonlinear optics N Quesada, JE Sipe Optics letters 42 (17), 3443-3446, 2017 | 63 | 2017 |
| Pennylane: Automatic differentiation of hybrid quantum-classical computations. arXiv 2018 V Bergholm, J Izaac, M Schuld, C Gogolin, S Ahmed, V Ajith, MS Alam, ... arXiv preprint arXiv:1811.04968, 2018 | 62 | 2018 |
Juan Miguel ArrazolaXanadu Quantum TechnologiesVerified email at xanadu.ai