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Solving Gauss's Law on Digital Quantum Computers with Loop-String-Hadron Digitization

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arxiv 1812.07554 v3 pith:L7JJWR3H submitted 2018-12-18 hep-lat hep-thquant-ph

Solving Gauss's Law on Digital Quantum Computers with Loop-String-Hadron Digitization

classification hep-lat hep-thquant-ph
keywords gaugebasisdigitaldigitizationgaussloop-string-hadronquantumqubits
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We show that using the loop-string-hadron (LSH) formulation of SU(2) lattice gauge theory (arXiv:1912.06133) as a basis for digital quantum computation easily solves an important problem of fundamental interest: implementing gauge invariance (or Gauss's law) exactly. We first discuss the structure of the LSH Hilbert space in $d$ spatial dimensions, its truncation, and its digitization with qubits. Error detection and mitigation in gauge theory simulations would benefit from physicality "oracles,'"so we decompose circuits that flag gauge invariant wavefunctions. We then analyze the logical qubit costs and entangling gate counts involved with the protocols. The LSH basis could save or cost more qubits than a Kogut-Susskind-type representation basis, depending on how the bases are digitized as well as the spatial dimension. The numerous other clear benefits encourage future studies into applying this framework.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Gauss law codes and vacuum codes from lattice gauge theories

    quant-ph 2026-04 unverdicted novelty 8.0

    Gauss law codes identify the full gauge-invariant sector as the code space while vacuum codes restrict to the matter vacuum, with the two shown to be unitarily equivalent for finite gauge groups.

  2. A Framework for Quantum Simulations of Energy-Loss and Hadronization in Non-Abelian Gauge Theories: SU(2) Lattice Gauge Theory in 1+1D

    quant-ph 2025-12 conditional novelty 6.0

    A quantum simulation framework is developed and demonstrated for energy loss and hadronization of a heavy quark in 1+1D SU(2) lattice gauge theory on 18 qubits of IBM hardware, with results matching classical simulations.