A fully programmable 100-spin coherent Ising machine with all-to-all connections PL McMahon, A Marandi, Y Haribara, R Hamerly, C Langrock, S Tamate, ... Science 354 (6312), 614-617, 2016 | 700 | 2016 |

Large-scale optical neural networks based on photoelectric multiplication R Hamerly, L Bernstein, A Sludds, M Soljačić, D Englund Physical Review X 9 (2), 021032, 2019 | 458 | 2019 |

Experimental investigation of performance differences between coherent Ising machines and a quantum annealer R Hamerly, T Inagaki, PL McMahon, D Venturelli, A Marandi, T Onodera, ... Science advances 5 (5), eaau0823, 2019 | 317 | 2019 |

Large-scale Ising spin network based on degenerate optical parametric oscillators T Inagaki, K Inaba, R Hamerly, K Inoue, Y Yamamoto, H Takesue Nature Photonics 10 (6), 415-419, 2016 | 252 | 2016 |

Advantages of coherent feedback for cooling quantum oscillators R Hamerly, H Mabuchi Physical review letters 109 (17), 173602, 2012 | 145 | 2012 |

Hardware error correction for programmable photonics S Bandyopadhyay, R Hamerly, D Englund Optica 8 (10), 1247-1255, 2021 | 115 | 2021 |

Delocalized Photonic Deep Learning on the Internet's Edge A Sludds, S Bandyopadhyay, Z Chen, Z Zhong, J Cochrane, L Bernstein, ... Science 378 (6617), 270-276, 2022 | 114 | 2022 |

Accelerating recurrent Ising machines in photonic integrated circuits M Prabhu, C Roques-Carmes, Y Shen, N Harris, L Jing, J Carolan, ... Optica 7 (5), 551-558, 2020 | 110 | 2020 |

A 16-bit coherent Ising machine for one-dimensional ring and cubic graph problems K Takata, A Marandi, R Hamerly, Y Haribara, D Maruo, S Tamate, ... Scientific reports 6 (1), 34089, 2016 | 89 | 2016 |

Deep learning with coherent VCSEL neural networks Z Chen, A Sludds, R Davis III, I Christen, L Bernstein, L Ateshian, ... Nature Photonics 17 (8), 723-730, 2023 | 84 | 2023 |

Freely scalable and reconfigurable optical hardware for deep learning L Bernstein, A Sludds, R Hamerly, V Sze, J Emer, D Englund Scientific reports 11 (1), 3144, 2021 | 81 | 2021 |

Single chip photonic deep neural network with accelerated training S Bandyopadhyay, A Sludds, S Krastanov, R Hamerly, N Harris, ... arXiv preprint arXiv:2208.01623, 2022 | 80 | 2022 |

Temporal simultons in optical parametric oscillators M Jankowski, A Marandi, CR Phillips, R Hamerly, KA Ingold, RL Byer, ... Physical Review Letters 120 (5), 053904, 2018 | 65 | 2018 |

Coherent controllers for optical-feedback cooling of quantum oscillators R Hamerly, H Mabuchi Physical Review A 87 (1), 013815, 2013 | 64 | 2013 |

Quantum noise in large-scale coherent nonlinear photonic circuits C Santori, JS Pelc, RG Beausoleil, N Tezak, R Hamerly, H Mabuchi Physical Review Applied 1 (5), 054005, 2014 | 55 | 2014 |

Fundamental thermal noise limits for optical microcavities C Panuski, D Englund, R Hamerly Physical Review X 10 (4), 041046, 2020 | 48 | 2020 |

Accurate self-configuration of rectangular multiport interferometers R Hamerly, S Bandyopadhyay, D Englund Physical Review Applied 18 (2), 024019, 2022 | 45 | 2022 |

Design of high-speed phase-only spatial light modulators with two-dimensional tunable microcavity arrays C Peng, R Hamerly, M Soltani, DR Englund Optics Express 27 (21), 30669-30680, 2019 | 44 | 2019 |

Reduced models and design principles for half-harmonic generation in synchronously pumped optical parametric oscillators R Hamerly, A Marandi, M Jankowski, MM Fejer, Y Yamamoto, H Mabuchi Physical Review A 94 (6), 063809, 2016 | 44 | 2016 |

Topological defect formation in 1D and 2D spin chains realized by network of optical parametric oscillators R Hamerly, K Inaba, T Inagaki, H Takesue, Y Yamamoto, H Mabuchi International Journal of Modern Physics B 30 (25), 1630014, 2016 | 38 | 2016 |