Title | Quantum spectral methods for differential equations |

Publication Type | Journal Article |

Year of Publication | 2020 |

Authors | Childs, AM, Liu, J-P |

Journal | Commun. Math. Phys. |

Volume | 375 |

Pages | 1427-1457 |

Date Published | 2/18/2020 |

Abstract | Recently developed quantum algorithms address computational challenges in numerical analysis by performing linear algebra in Hilbert space. Such algorithms can produce a quantum state proportional to the solution of a d-dimensional system of linear equations or linear differential equations with complexity poly(logd). While several of these algorithms approximate the solution to within ε with complexity poly(log(1/ε)), no such algorithm was previously known for differential equations with time-dependent coefficients. Here we develop a quantum algorithm for linear ordinary differential equations based on so-called spectral methods, an alternative to finite difference methods that approximates the solution globally. Using this approach, we give a quantum algorithm for time-dependent initial and boundary value problems with complexity poly(logd,log(1/ε)). |

URL | https://arxiv.org/abs/1901.00961 |

DOI | 10.1007/s00220-020-03699-z |