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Variational consistent histories as a hybrid algorithm for quantum foundations

机译:变分一致的历史作为量子基础的混合算法

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摘要

Although quantum computers are predicted to have many commercial applications, less attention has been given to their potential for resolving foundational issues in quantum mechanics. Here we focus on quantum computers’ utility for the Consistent Histories formalism, which has previously been employed to study quantum cosmology, quantum paradoxes, and the quantum-to-classical transition. We present a variational hybrid quantum-classical algorithm for finding consistent histories, which should revitalize interest in this formalism by allowing classically impossible calculations to be performed. In our algorithm, the quantum computer evaluates the decoherence functional (with exponential speedup in both the number of qubits and the number of times in the history) and a classical optimizer adjusts the history parameters to improve consistency. We implement our algorithm on a cloud quantum computer to find consistent histories for a spin in a magnetic field and on a simulator to observe the emergence of classicality for a chiral molecule.
机译:尽管预计量子计算机将有许多商业应用,但是对于解决量子力学中基础性问题的潜力的关注却很少。在这里,我们重点介绍量子计算机在“一致性历史”形式主义中的作用,该形式主义以前曾被用于研究量子宇宙学,量子悖论和量子向经典的过渡。我们提出了一种变分混合量子经典算法,用于查找一致的历史记录,该算法应允许执行经典不可能的计算,从而重新激发对此形式主义的兴趣。在我们的算法中,量子计算机评估退相干函数(在量子位的数量和历史记录中的次数上都具有指数级加速),而经典的优化器会调整历史记录参数以提高一致性。我们在云量子计算机上实施算法以找到磁场自旋的一致历史,并在模拟器上实施以观察手性分子的经典性出现。

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