化学动力学的实验量子模拟
Experimental Quantum Simulation of Chemical Dynamics
AI总结：
针对量子化学中化学动力学模拟资源需求高的难题，提出结合量子比特与玻色自由度的混合编码方案，用囚禁离子装置实现非绝热化学过程等的高效模拟，资源需求远低于纯量子比特方案，应用前景广阔。
摘要：
分子与反应中动力学过程的精确模拟是量子化学领域最具挑战性的问题之一。量子计算机有望实现高效的化学模拟，但现有量子算法需要大量逻辑量子比特与量子门，其实用应用超出了当前技术水平。本文首次开展化学动力学的量子模拟，采用一种同时利用量子比特与玻色自由度的硬件效率更高的编码方案。我们的囚禁离子装置可精确模拟非绝热化学过程的动力学，这类过程因涉及电子运动与核运动的强耦合，是计算化学中最困难的问题之一。我们通过模拟三种不同分子的动力学以及凝聚相中的开放系统动力学，证明了该方法的可编程性与通用性，且所有模拟均使用相同的量子资源。与等效的纯量子比特量子模拟相比，我们的方法所需资源少几个数量级，证明了混合编码方案加速复杂化学过程量子模拟的潜力，其可应用于从能量转换与存储到生物学和药物设计的诸多领域。
英文摘要：
Accurate simulation of dynamical processes in molecules and reactions is among the most challenging problems in quantum chemistry. Quantum computers promise efficient chemical simulation, but the existing quantum algorithms require many logical qubits and gates, placing practical applications beyond existing technology. Here, we carry out the first quantum simulations of chemical dynamics by employing a more hardware-efficient encoding scheme that uses both qubits and bosonic degrees of freedom. Our trapped-ion device accurately simulates the dynamics of non-adiabatic chemical processes, which are among the most difficult problems in computational chemistry because they involve strong coupling between electronic and nuclear motions. We demonstrate the programmability and versatility of our approach by simulating the dynamics of three different molecules as well as open-system dynamics in the condensed phase, all with the same quantum resources. Our approach requires orders of magnitude fewer resources than equivalent qubit-only quantum simulations, demonstrating the potential of using hybrid encoding schemes to accelerate quantum simulations of complex chemical processes, which could have applications in fields ranging from energy conversion and storage to biology and drug design.
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。
