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Exploring light-cone distribution amplitudes from quantum computing

Tianyin Li, Xingyu Guo, W. K. Lai, Xiaohui Liu, E. Wang, H. Xing, Dan-Bo Zhang, Shi-Liang Zhu, QuNu Collaboration·July 27, 2022·DOI: 10.1007/s11433-023-2120-1
Physics

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Abstract

Light-cone distribution amplitudes (LCDAs) are essential nonperturbative quantities for theoretical predictions of exclusive high-energy processes in quantum chromodynamics (QCD). We demonstrate the prospect of calculating LCDAs on a quantum computer by applying a recently proposed quantum algorithm, with staggered fermions, to the simulation of the LCDA in the (1 + 1)-dimensional Nambu-Jona-Lasinio (NJL) model on classical hardware. The agreement between the result from the classical simulation of the quantum algorithm and that from exact diagonalization justifies the proposed quantum algorithm. We find that the resulting LCDA in the NJL model exhibits features shared with the LCDAs obtained from the QCD.

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