研究人员开发了一种新的量子 Koopman 方法，用于在量子计算机上模拟非线性动力学，克服了酉演化的限制。这个数据驱动的框架学习非线性系统的线性表示，从而可以使用浅层量子电路进行模拟。该方法已成功应用于超导处理器上模拟反应-扩散动力学、流体运动和洋流，证明了其捕捉复杂模式和统计特征的能力。 AI
排序理由 学术论文，详细介绍了一种新的量子模拟方法。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv:2607.07338v1 Announce Type: cross Abstract: Nonlinear dynamics is ubiquitous in nature, ranging from chemical pattern formation to ocean circulation, yet its simulation on quantum computers is fundamentally limited by the unitary nature of quantum evolution. We propose the …
Nonlinear dynamics is ubiquitous in nature, ranging from chemical pattern formation to ocean circulation, yet its simulation on quantum computers is fundamentally limited by the unitary nature of quantum evolution. We propose the quantum Koopman method, a data-driven framework th…