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arXiv 2602.20154quant-ph
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通过向量化实现海森堡图中的量子模拟

Quantum simulation in the Heisenberg picture via vectorization

Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL)(洛桑联邦理工学院物理研究所);Center for Quantum Science and Engineering, EPFL(洛桑联邦理工学院量子科学与工程中心)

Shao-Hen Chiew, Armando Angrisani, Zoë Holmes, Giuseppe Carleo

AI总结:

通过向量化方法实现海森堡图中量子模拟,将海森堡算子任务映射到薛定谔图任务,提升量子模拟效率与实现可行性。

摘要:

我们提出了一种通用框架,用于在量子硬件上模拟量子系统在海森堡图中的情况。基于向量化映射,我们的框架充分利用了算子与量子态之间的映射关系,使得任何在海森堡算子上定义的任务都能被映射到标准薛定谔图任务上,这些任务可以通过量子计算机和模拟器自然实现。这为诸如算子采样、OTOC/超算子期望值及其高阶矩、两点相关子、算子稳定器和纠缠熵等任务提供了新的或改进的协议。我们的方法也易于实现,因为它继承了正向和时间反向薛定谔图量子模拟问题的结构和资源需求。我们通过为二维问题在数字和模拟量子模拟器上提出我们的框架的实现来证明这一点,并考虑了设备连接性限制。

英文摘要:

We present a general framework for simulating quantum systems in the Heisenberg picture on quantum hardware. Based on the vectorization map, our framework fully exploits the mapping between operators and quantum states, allowing any task defined on Heisenberg operators to be mapped to standard Schrödinger-picture tasks that are naturally accessible via quantum computers and simulators. This yields new or improved protocols for tasks such as operator sampling, the computation of OTOCs/superoperator expectation values and their higher order moments, two-point correlators, and operator stabilizer and entanglement entropies. Our approach is also amenable to implementation, as it inherits the structure and resource requirements of the (forward and time-reversed) Schrödinger-picture quantum simulation problem. We demonstrate this by proposing implementations of our framework for a 2D problem on digital and analog quantum simulators, taking into account device connectivity constraints.

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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