Quick Navigation

Topics

Quantum Simulation

Digital Quantum Simulation of Hadronization in Yang-Mills Theory

arXiv
Authors: De-Sheng Li, Chun-Wang Wu, Ming Zhong, Wei Wu, Ping-Xing Chen

Year

2018

Paper ID

23898

Status

Preprint

Abstract Read

~2 min

Abstract Words

123

Citations

N/A

Abstract

A quantum algorithm of SU(N) Yang-Mills theory is formulated in terms of quantum circuits. It can nonperturbatively calculate the Dyson series and scattering amplitudes with polynomial complexity. The gauge fields in the interaction picture are discretized on the same footing with the lattice fermions in momentum space to avoid the fermion doubling and the gauge symmetry breaking problems. Applying the algorithm to the quantum simulation of quantum chromodynamics, the quark and gluon's wave functions evolved from the initial states by the interactions can be observed and the information from wave functions can be extracted at any discrete time. This may help us understand the natures of the hadronization which has been an outstanding question of significant implication on high energy phenomenological studies.

Why This Paper Matters

  • This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
  • It adds a 2018 reference point for readers tracking recent quantum research.
  • A quantum algorithm of SU(N) Yang-Mills theory is formulated in terms of quantum circuits.

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #23898 #69599 Tensor network compression usin... #69594 A Collective-Spin Derivation of... #69593 Local correlations in long-rang... #69592 Direct/adaptive-mixture phase-g...

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.