License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.TQC.2023.6
URN: urn:nbn:de:0030-drops-183163
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/18316/
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Hothem, Daniel ; Parekh, Ojas ; Thompson, Kevin

Improved Approximations for Extremal Eigenvalues of Sparse Hamiltonians

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Abstract

We give a classical 1/(qk+1)-approximation for the maximum eigenvalue of a k-sparse fermionic Hamiltonian with strictly q-local terms, as well as a 1/(4k+1)-approximation when the Hamiltonian has both 2-local and 4-local terms. More generally we obtain a 1/O(qk²)-approximation for k-sparse fermionic Hamiltonians with terms of locality at most q. Our techniques also yield analogous approximations for k-sparse, q-local qubit Hamiltonians with small hidden constants and improved dependence on q.

BibTeX - Entry

@InProceedings{hothem_et_al:LIPIcs.TQC.2023.6,
  author =	{Hothem, Daniel and Parekh, Ojas and Thompson, Kevin},
  title =	{{Improved Approximations for Extremal Eigenvalues of Sparse Hamiltonians}},
  booktitle =	{18th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2023)},
  pages =	{6:1--6:10},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-283-9},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{266},
  editor =	{Fawzi, Omar and Walter, Michael},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/18316},
  URN =		{urn:nbn:de:0030-drops-183163},
  doi =		{10.4230/LIPIcs.TQC.2023.6},
  annote =	{Keywords: Approximation algorithms, Extremal eigenvalues, Sparse Hamiltonians, Fermionic Hamiltonians, Qubit Hamiltonians}
}

Keywords: Approximation algorithms, Extremal eigenvalues, Sparse Hamiltonians, Fermionic Hamiltonians, Qubit Hamiltonians
Collection: 18th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2023)
Issue Date: 2023
Date of publication: 18.07.2023

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