From Feynman integrals to quantum algorithms: the Loop-Tree Duality connection

German Sborlini
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Abstract

In the context of high-energy particle physics, a reliable theory-experiment confrontation requires precise theoretical predictions. This translates into accessing higher-perturbative orders, and when we pursue this objective, we inevitably face the presence of complicated multi-loop Feynman integrals. There are serious bottlenecks to compute them with classical tools: the time to explore novel technologies has arrived. In this work, we study the implementation of quantum algorithms to optimize the integrands of scattering amplitudes. Our approach relies on the manifestly causal Loop-Tree Duality (LTD), which re-casts the loop integrand into phase-space integrals and avoids spurious non-physical singularities. Then, we codify this information in such a way that a quantum computer can understand the problem, and build Hamiltonians whose ground state are directly related to the causal representation. Promising results for generic families of multi-loop topologies are presented.
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从费曼积分到量子算法:环树对偶关系
在高能粒子物理学中,可靠的理论-实验对抗需要精确的理论预测。这就意味着要获得更高的微扰阶数,而当我们追求这一目标时,不可避免地要面对复杂的多环费曼积分。用经典工具计算这些积分存在严重瓶颈:探索新技术的时候到了。在这项工作中,我们研究了优化散射振幅积分的量子算法的实现。我们的方法依赖于明显的因果环树对偶性(LTD),它将环路积分重铸成相空间积分,避免了虚假的非物理奇点。然后,我们对这些信息进行编码,使量子计算机能够理解问题,并建立起基态与因果表征直接相关的哈密顿。本文介绍了针对一般多环拓扑族的有希望的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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