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arXiv 2504.08065quant-ph

用于块编码振动与振动态哈密顿量的高阶张量分解

Higher order tensor factorizations for block encoding vibrational and vibronic Hamiltonians

Hirsh Kamakari, Emil Zak

AI总结:

本文提出利用Canonical Polyadic和Tucker张量分解改写振动与振动态哈密顿量,以降低量子相位估计的T门计数,并在水和单氘代甲烷分子上验证了方法有效性。

摘要:

通过相位估计算法和量子化实现的容错量子模拟,其T门计数与哈密顿量的1-范数及块编码哈密顿量的成本成正比,与所需精度成反比。张量分解方法已成功用于降低基态电子结构问题中的T门计数。本文引入张量分解方法来降低量子相位估计的T门计数。具体而言,我们展示了如何利用表示振动和振动态哈密顿量的张量的Canonical Polyadic分解和Tucker分解,将哈密顿量改写为表示核振动的玻色子位置算符的线性组合。我们在水分子和单氘代甲烷分子上演示了这些分解方法的应用。

英文摘要:

Fault tolerant quantum simulation via the phase estimation algorithm and qubitization has a T-gate count that scales proportionally to the 1-norm of the Hamiltonian, the cost of block encoding the Hamiltonian, and inversely proportionally to the desired accuracy. Tensor factorization methods have been successfully used to reduce T-gate counts in the ground state electronic structure problem. Here we introduce the use of tensor factorization methods to reduce the T-gate count of quantum phase estimation. In particular, we show how Canonical Polyadic and Tucker decompositions of the tensors representing the vibrational and vibronic Hamiltonians can be utilized to rewrite the Hamiltonian in terms of linear combination of bosonic position operators representing nuclear vibrations. We demonstrate the use of these factorization methods on the water and monodeutered methane molecules.

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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