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Quantum computation for physical modeling

机译：物理建模的量子计算

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One of the most famous American physicists of the twentieth century, Richard Feynman, in 1982 was the first to propose using a quantum mechanical computing device to efficiently simulate quantum mechanical many-body dynamics [1-3], a task that is exponentially complex in the number of particles treated and is completely intractable by any classical computing means for large systems of many particles. In the two decades following his work, remarkable progress has been made both theoretically and experimentally in the new field of quantum computation [4,5]. Ironically, however, most of the theoretical progress in quantum computing has developed within the purview of the computer scientist with the principle applications of efficient quantum information. In an effort return of Feynman's original direction, the Air Force Research Laboratory and the Air Force Office of Scientific Research has established a multidisciplinary basic research theme called Quantum Computation for Physical Modeling to explore quantum algorithms to model dynamical physical systems. Our goal is to establish a practical and generic means by which the power of quantum mechanics (that is, quantum parallelism due to the superposition and entanglement of states) can be used to speedup numerical simulations of interest to computational physicists.
机译：理查德·费曼（Richard Feynman）是20世纪美国最著名的物理学家之一，他于1982年首次提出使用量子力学计算设备来有效地模拟量子力学多体动力学的研究[1-3]，这项工作在几何上是指数复杂的。处理过的粒子的数量，对于任何包含许多粒子的大型系统，任何经典的计算手段都很难解决。在他的工作之后的二十年中，在量子计算的新领域[4,5]在理论上和实验上都取得了显着进步。然而，具有讽刺意味的是，量子计算的大多数理论进展都是在计算机科学家的权限范围内发展起来的，它具有高效量子信息的原理应用。为了重返费曼的原始方向，空军研究实验室和空军科学研究所建立了一个多学科的基础研究主题，即物理建模量子计算，以探索对动力学物理系统建模的量子算法。我们的目标是建立一种实用且通用的方法，利用该方法，量子力学的力量（即由于状态的叠加和纠缠引起的量子平行性）可用于加速计算物理学家感兴趣的数值模拟。

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