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Partonic collinear structure by quantum computing

Tianyin Li, Xingyu Guo, Wai Kin Lai, Xiaohui Liu, Enke Wang, Hongxi Xing, Dan-Bo Zhang, Shi-Liang Zhu

2022Physical review. D/Physical review. D.51 citationsDOIOpen Access PDF

Abstract

We present a systematic quantum algorithm, which integrates both the hadronic state preparation and the evaluation of real-time light-front correlators, to study parton distribution functions (PDFs). As a proof of concept, we demonstrate the first direct simulation of the PDFs in the $1+1$ dimensional Nambu-Jona-Lasinio model. We show the results obtained by exact diagonalization and by quantum computation using classical hardware. The agreement between these two distinct methods and the qualitative consistency with QCD PDFs validate the proposed quantum algorithm. Our work suggests the encouraging prospects of calculating QCD PDFs on current and near-term quantum devices. The presented quantum algorithm is expected to have many applications in high energy particle and nuclear physics.

Topics & Concepts

Quantum chromodynamicsPhysicsPartonQuantum algorithmConsistency (knowledge bases)Quantum computerQuantumParticle physicsHadronStatistical physicsWork (physics)ComputationAlgorithmQuantum mechanicsComputer scienceArtificial intelligenceParticle physics theoretical and experimental studiesQuantum Chromodynamics and Particle InteractionsHigh-Energy Particle Collisions Research
Partonic collinear structure by quantum computing | Litcius