01362nas a2200157 4500008004100000245010600041210006900147260001500216300001400231490000700245520083800252100002301090700001901113700002301132856004901155 2017 eng d00aQuantum algorithm for systems of linear equations with exponentially improved dependence on precision0 aQuantum algorithm for systems of linear equations with exponenti c2017/12/21 a1920-19500 v463 a
Harrow, Hassidim, and Lloyd showed that for a suitably specified N×N matrix A and N-dimensional vector b⃗ , there is a quantum algorithm that outputs a quantum state proportional to the solution of the linear system of equations Ax⃗ =b⃗ . If A is sparse and well-conditioned, their algorithm runs in time poly(logN,1/ϵ), where ϵ is the desired precision in the output state. We improve this to an algorithm whose running time is polynomial in log(1/ϵ), exponentially improving the dependence on precision while keeping essentially the same dependence on other parameters. Our algorithm is based on a general technique for implementing any operator with a suitable Fourier or Chebyshev series representation. This allows us to bypass the quantum phase estimation algorithm, whose dependence on ϵ is prohibitive.
1 aChilds, Andrew, M.1 aKothari, Robin1 aSomma, Rolando, D. uhttp://epubs.siam.org/doi/10.1137/16M1087072