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arXiv 2607.02456quant-phhep-th
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颜色排序MHV散射振幅的量子游走表示

A Quantum-Walk Representation of Color-Ordered MHV Scattering Amplitudes

Indian Institute of Science(印度科学研究所)

Anirudh Verma, C. M. Chandrashekar

AI总结:

提出基于排列树上的有标记量子游走的图论框架,表示QCD中颜色排序的最大螺旋度违反散射振幅,通过量子傅里叶变换组合编码贡献,数值验证了Parke-Taylor结构。

摘要:

我们引入了一个图论框架,用于表示量子色动力学中颜色排序的最大螺旋度违反散射振幅,该框架使用排列树上的有标记量子游走。每个根到终端的路径对应于外部胶子的不同颜色排序,而局部转移振幅根据Parke-Taylor振幅的自旋子乘积结构分配。游走在排列扇区上的相干叠加中演化,提供了底层组合学的动力学图像。还引入了基于Kraus算子的量子信道公式来描述扇区解析的贡献,而加权收集算子在公共参考节点上相干地组合终端扇区。然后利用硬币空间上的量子傅里叶变换将编码的贡献组合成相应的颜色分解振幅。这些构造共同建立了一个统一的基于图的框架,连接排列树、量子游走和开放量子系统,为量子算法模拟量子场论中的散射过程提供了框架。作为示例,低点胶子振幅的数值结果表明,所提出的表示忠实地捕捉了特征性的Parke-Taylor结构,并与解析结果一致。

英文摘要:

We introduce a graph-theoretic framework for representing color-ordered maximally helicity violating (MHV) scattering amplitudes in quantum chromodynamics using coined quantum walks on permutation trees. Each root-to-terminal path corresponds to a distinct color ordering of the external gluons, while local transition amplitudes are assigned according to the spinor-product structure of the Parke--Taylor amplitudes. The walk evolves in coherent superpositions over permutation sectors, giving a dynamical picture of the underlying combinatorics. A quantum-channel formulation based on Kraus operators is also introduced to describe sector-resolved contributions, while a weighted collection operator coherently combines the terminal sectors at a common reference node. A quantum Fourier transform on the coin space is then employed to combine the encoded contributions into the corresponding color-decomposed amplitude. Together, these constructions establish a unified graph-based framework connecting permutation trees, quantum walks, and open quantum systems providing a framework for quantum algorithms to simulate scattering processes in quantum field theory. As an example, numerical results for low-point gluon amplitudes demonstrate that the proposed representation faithfully captures the characteristic Parke--Taylor structure and is consistent with analytical results.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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