Implementing the sine transform of fermionic modes as a tensor network

Hannes Epple, Pascal Fries, and Haye Hinrichsen
Phys. Rev. A 96, 032308 – Published 6 September 2017

Abstract

Based on the algebraic theory of signal processing, we recursively decompose the discrete sine transform of the first kind (DST-I) into small orthogonal block operations. Using a diagrammatic language, we then second-quantize this decomposition to construct a tensor network implementing the DST-I for fermionic modes on a lattice. The complexity of the resulting network is shown to scale as 54nlogn (not considering swap gates), where n is the number of lattice sites. Our method provides a systematic approach of generalizing Ferris' spectral tensor network for nontrivial boundary conditions.

  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Received 30 May 2017

DOI:https://doi.org/10.1103/PhysRevA.96.032308

©2017 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyCondensed Matter, Materials & Applied Physics

Authors & Affiliations

Hannes Epple*, Pascal Fries, and Haye Hinrichsen

  • Fakultät für Physik und Astronomie, Julius-Maximilians Universität Würzburg, Am Hubland, 97074 Würzburg, Germany

  • *hannes.epple@stud-mail.uni-wuerzburg.de

Article Text (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 96, Iss. 3 — September 2017

Reuse & Permissions
Access Options
Author publication services for translation and copyediting assistance advertisement

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review A

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×