Literature DB >> 23829722

Preconditioned quantum linear system algorithm.

B D Clader1, B C Jacobs, C R Sprouse.   

Abstract

We describe a quantum algorithm that generalizes the quantum linear system algorithm [Harrow et al., Phys. Rev. Lett. 103, 150502 (2009)] to arbitrary problem specifications. We develop a state preparation routine that can initialize generic states, show how simple ancilla measurements can be used to calculate many quantities of interest, and integrate a quantum-compatible preconditioner that greatly expands the number of problems that can achieve exponential speedup over classical linear systems solvers. To demonstrate the algorithm's applicability, we show how it can be used to compute the electromagnetic scattering cross section of an arbitrary target exponentially faster than the best classical algorithm.

Year:  2013        PMID: 23829722     DOI: 10.1103/PhysRevLett.110.250504

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  6 in total

1.  Quantum machine learning.

Authors:  Jacob Biamonte; Peter Wittek; Nicola Pancotti; Patrick Rebentrost; Nathan Wiebe; Seth Lloyd
Journal:  Nature       Date:  2017-09-13       Impact factor: 49.962

2.  Efficient quantum algorithm for dissipative nonlinear differential equations.

Authors:  Jin-Peng Liu; Herman Øie Kolden; Hari K Krovi; Nuno F Loureiro; Konstantina Trivisa; Andrew M Childs
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-31       Impact factor: 11.205

Review 3.  Quantum machine learning: a classical perspective.

Authors:  Carlo Ciliberto; Mark Herbster; Alessandro Davide Ialongo; Massimiliano Pontil; Andrea Rocchetto; Simone Severini; Leonard Wossnig
Journal:  Proc Math Phys Eng Sci       Date:  2018-01-17       Impact factor: 2.704

4.  Hybrid classical-quantum linear solver using Noisy Intermediate-Scale Quantum machines.

Authors:  Chih-Chieh Chen; Shiue-Yuan Shiau; Ming-Feng Wu; Yuh-Renn Wu
Journal:  Sci Rep       Date:  2019-11-07       Impact factor: 4.379

5.  Fusing the single-excitation subspace with [Formula: see text].

Authors:  Michael R Geller
Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

6.  Quantum hyperparallel algorithm for matrix multiplication.

Authors:  Xin-Ding Zhang; Xiao-Ming Zhang; Zheng-Yuan Xue
Journal:  Sci Rep       Date:  2016-04-29       Impact factor: 4.379

  6 in total

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