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An improved method for quantum matrix multiplication

  • Stony Brook University

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Following the celebrated quantum algorithm for solving linear equations (so-called HHL algorithm), Childs et al. (SIAM J Comput 46:1920–1950, 2017) provided an approach to solve a linear system of equations with exponentially improved dependence on precision. In this note, we aim to complement such a result for applying a matrix to some quantum state, based upon their Chebyshev polynomial approach. A few examples that motivate this application are included, and we further discuss an application of this improved matrix application algorithm explicitly with an efficient quantum procedure.

Original languageEnglish
Article number299
JournalQuantum Information Processing
Volume22
Issue number8
DOIs
StatePublished - Aug 2023

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