大规模量子模拟的基准测试
Benchmarking quantum simulation at scale
浏览论文内容
中文总结 AI 辅助
研究量子计算机在非平衡量子模拟方面超越经典计算机的优势，提出基于稳定器疤痕的可扩展验证方案，通过假设物理误差模型，以量子模拟保真度为基准，为非平衡动力学量子优势实验提供支持。
中文摘要 AI 辅助
量子计算机能明显超越经典计算机的应用仍在确定中，对这种优势进行基准测试具有挑战性。我们提出了一种基于稳定器疤痕的非平衡量子模拟的可扩展验证方案，稳定器疤痕是一类特殊的量子多体疤痕，其结构确保了经典可模拟性和高效的直接保真度估计。假设一个基于物理的误差模型，我们表明量子模拟这些状态的保真度限制了经典难以处理的模拟的保真度，为非平衡动力学中的量子优势实验提供了一个基准。
英文摘要
The applications for which quantum computers will clearly outperform classical computers are still being identified and benchmarking such an advantage is challenging. We propose a scalable verification scheme for non-equilibrium quantum simulation based on stabilizer scars, a special class of quantum many-body scars, whose structure ensures both classical simulability and efficient direct fidelity estimation. Assuming a physically motivated error model, we show that the fidelity of quantum simulating these states bounds the fidelity of classically intractable simulations, providing a benchmark for quantum-advantage experiments in non-equilibrium dynamics.
