Restricted Boltzmann machine learning for solving strongly correlated quantum systems Y Nomura, AS Darmawan, Y Yamaji, M Imada Physical Review B 96 (20), 205152, 2017 | 119 | 2017 |

Tensor-network simulations of the surface code under realistic noise AS Darmawan, D Poulin Physical Review Letters 119 (4), 040502, 2017 | 43 | 2017 |

Measurement-based quantum computation in a two-dimensional phase of matter AS Darmawan, GK Brennen, SD Bartlett New Journal of Physics 14 (1), 013023, 2012 | 42 | 2012 |

Stripe and superconducting order competing in the Hubbard model on a square lattice studied by a combined variational Monte Carlo and tensor network method AS Darmawan, Y Nomura, Y Yamaji, M Imada Physical Review B 98 (20), 205132, 2018 | 24 | 2018 |

Optical spin-1 chain and its use as a quantum-computational wire AS Darmawan, SD Bartlett Physical Review A 82 (1), 012328, 2010 | 22 | 2010 |

Linear-time general decoding algorithm for the surface code AS Darmawan, D Poulin Physical Review E 97 (5), 051302, 2018 | 21 | 2018 |

Graph states as ground states of two-body frustration-free Hamiltonians AS Darmawan, SD Bartlett New Journal of Physics 16 (7), 073013, 2014 | 18 | 2014 |

Tailoring surface codes for highly biased noise DK Tuckett, AS Darmawan, CT Chubb, S Bravyi, SD Bartlett, ST Flammia Physical Review X 9 (4), 041031, 2019 | 15 | 2019 |

Spectral properties for a family of two-dimensional quantum antiferromagnets AS Darmawan, SD Bartlett Physical Review B 93 (4), 045129, 2016 | 6 | 2016 |

Critical noise parameters for fault-tolerant quantum computation A Darmawan, P Iyer, D Poulin | 2 | 2016 |

Quantum computational phases of matter A Darmawan University of Sydney, 2014 | | 2014 |