English

Optimising Matrix Product State Simulations of Shor's Algorithm

Quantum Physics 2019-01-28 v4

Abstract

We detail techniques to optimise high-level classical simulations of Shor's quantum factoring algorithm. Chief among these is to examine the entangling properties of the circuit and to effectively map it across the one-dimensional structure of a matrix product state. Compared to previous approaches whose space requirements depend on rr, the solution to the underlying order-finding problem of Shor's algorithm, our approach depends on its factors. We performed a matrix product state simulation of a 60-qubit instance of Shor's algorithm that would otherwise be infeasible to complete without an optimised entanglement mapping.

Keywords

Cite

@article{arxiv.1712.07311,
  title  = {Optimising Matrix Product State Simulations of Shor's Algorithm},
  author = {Aidan Dang and Charles D. Hill and Lloyd C. L. Hollenberg},
  journal= {arXiv preprint arXiv:1712.07311},
  year   = {2019}
}

Comments

8 pages, 2 figures, 2 tables. v2 using PDFLaTeX compiler. v3 to include extra references. v4 for publication in Quantum

R2 v1 2026-06-22T23:24:03.991Z