Quantum simulation algorithms for quantum chromodynamics

量子色动力学的量子模拟算法

• 批准号: ST/W006251/1
• 负责人: Sergii Strelchuk
• 金额: $ 49.53万
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=ST%2FW006251%2F1
• 关键词: Quantum; simulation; algorithms; quantum; chromodynamics

Quantum Chromodynamics (QCD) is the theory of strong force and it lies at the heart of our understanding of the plethora of experimental observations, as well as predictions for new particle discoveries in collider experiments like LHC at CERN. One of the major outstanding problems that stand in the way of the successful application of the QCD to real-world systems is its inherent computational complexity. Many important problems resist repeated efforts to find efficient classical algorithms to gain insight into the behaviour of basic building blocks of matter. This naturally leads us to consider other promising computational paradigms that have a potential to overcome the above obstacles such as quantum computing. The emergence of quantum computing was marked by Feynman's insight in 1982 that simulating the evolution of general many-body quantum systems on a classical computer requires exponential resources. This is due to the exponential scaling of the dimension of the underlying Hilbert space with the system size. In contrast, as Feynman observed, the evolution of the quantum system itself requires only polynomial overhead. Since then, there has been steady theoretical progress on manipulation of quantum information and this has stimulated the development of new information processing protocols which rely essentially on the quantum nature of the physical systems and provide applications for scalable quantum computers. Currently, there is a major theoretical and experimental effort towards actually building small to medium-sized quantum computers. This, together with tangible experimental advances opens up avenues not only for novel algorithmic advances but also for bespoke applications of quantum theory to a range of problems that were previously inaccessible.We aim to exploit recent advances in quantum computing and simulation of physical systems to solve problems in QCD that were previously intractable by traditional classical methods. This will allow us to delve deeper into particle interaction and inspire new efficient quantum methods for simulating fundamental forces of nature.

量子染色体动力学（QCD）是强力的理论，它是我们对过多实验观测的理解的核心，以及对诸如LHC等cern等对撞机实验的新粒子发现的预测。 QCD成功地应用于现实世界系统的主要问题之一是其固有的计算复杂性。许多重要的问题拒绝反复努力寻找有效的经典算法，以深入了解基本物质基础的行为。这自然会导致我们考虑其他有前途的计算范式，这些计算范式有可能克服上述障碍，例如量子计算。量子计算的出现以Feynman在1982年的见解为标志，即在经典计算机上模拟一般多体量子系统的演变需要指数级的资源。这是由于系统尺寸的基础希尔伯特空间的尺寸的指数缩放。相反，正如Feynman所观察到的那样，量子系统本身的演变仅需要多项式开销。从那时起，在操纵量子信息方面取得了稳定的理论进步，这刺激了新信息处理协议的开发，这些方案基本上依赖物理系统的量子性质，并为可扩展的量子计算机提供了应用。当前，实际上是构建中小型量子计算机的主要理论和实验性努力。这与有形的实验进步一起，不仅为新的算法进步开辟了途径，而且还将量子理论的定制应用程序应用于以前无法访问的一系列问题。 QCD中的问题以前通过传统的经典方法难以理解。这将使我们能够深入研究粒子的相互作用，并激发新的有效量子方法，以模拟自然的基本力量。