Quantum improvement in Spatial Discretization

Saul Gonzalez; Parfait Atchade-Adelomou

Quantum improvement in Spatial Discretization

Quantum Physics 2023-12-15 v1

Authors: Saul Gonzalez , Parfait Atchade-Adelomou

Abstract

Quantum algorithms have begun to surpass classical ones in several computation fields, yet practical application remains challenging due to hardware and software limitations. Here, we introduce a quantum algorithm that quadratically improves spatial discretization within these constraints. Implemented in the quantum software library Pennylane, our algorithm bridges the gap from theoretical models to tangible quantum circuitry. The approach promises enhanced efficiency in quantum spatial analysis, with simulations and hardware experiments validating its potential.

Keywords

quantum algorithms quantum computing quantum annealing

Cite

@article{arxiv.2312.09036,
  title  = {Quantum improvement in Spatial Discretization},
  author = {Saul Gonzalez and Parfait Atchade-Adelomou},
  journal= {arXiv preprint arXiv:2312.09036},
  year   = {2023}
}

Comments

16 pages, 17 figures and 2 tables

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