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arXiv 2602.11272quant-ph
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在量子计算机上高效模拟预玻恩-奥普芬贝格动力学

Efficient Simulation of Pre-Born-Oppenheimer Dynamics on a Quantum Computer

Xanadu;Department of Physics, University of Toronto(多伦多大学物理系);Department of Computer Science, University of Toronto(多伦多大学计算机系);Pacific Northwest National Laboratory(太平洋西北国家实验室);Canadian Institute for Advanced Research(加拿大高级研究院)

Matthew Pocrnic, Ignacio Loaiza, Juan Miguel Arrazola, Nathan Wiebe, Danial Motlagh

AI总结:

本文提出了一种在量子计算机上高效模拟预玻恩-奥普芬贝格动力学的量子算法,通过优化方法显著降低了光化学反应模拟的资源需求。

摘要:

在本文中,我们提出了一种量子算法,用于在第一量子化实空间网格上直接进行从头原理的电子-核动力学模拟。我们的算法通过利用交换网络的线性缩放性,实现了对预玻恩-奥普芬贝格分子哈密顿量块编码的最佳效率,以实现二次数量的粒子相互作用。同时,我们采用了一种新颖的交替符号实现方式,用于 Coulomb 相互作用,该方法利用了高度优化的算术程序。我们对一系列具有科学和工业相关性的化学反应进行了基准测试。我们展示了在 NH3 + BF3 反应中,与以往最先进的方法相比,成本减少了数量级,使用 1362 个逻辑量子比特(系统 + 助手量子比特)实现了每飞秒 8.7×10⁹ 个 Toffoli 成本。我们的结果显著降低了容错模拟光化学反应所需的资源,同时提供了一套预期将成为更广泛类量子算法基础构建模块的算法原语。

英文摘要:

In this work, we present a quantum algorithm for direct first-principles simulation of electron-nuclear dynamics on a first-quantized real-space grid. Our algorithm achieves best-in-class efficiency for block-encoding the pre-Born-Oppenheimer molecular Hamiltonian by harnessing the linear scaling of swap networks for implementing the quadratic number of particle interactions, while using a novel alternating sign implementation of the Coulomb interaction that exploits highly optimized arithmetic routines. We benchmark our approach for a series of scientifically and industrially relevant chemical reactions. We demonstrate over an order-of-magnitude reduction in costs compared to previous state-of-the-art for the $\rm NH_3+BF_3$ reaction, achieving a Toffoli cost of $8.7\times10^{9}$ per femtosecond using $1362$ logical qubits (system + ancillas). Our results significantly lower the resources required for fault-tolerant simulations of photochemical reactions, while providing a suite of algorithmic primitives that are expected to serve as foundational building blocks for a broader class of quantum algorithms.

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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