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Main Authors: Su, Hao, Xiong, Shiying, Yang, Yue
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2406.04652
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author Su, Hao
Xiong, Shiying
Yang, Yue
author_facet Su, Hao
Xiong, Shiying
Yang, Yue
contents We propose a method for preparing the quantum state for a given velocity field, e.g., in fluid dynamics, via the spherical Clebsch wave function (SCWF). Using the pointwise normalization constraint for the SCWF, we develop a variational ansatz comprising parameterized controlled rotation gates. Employing the variational quantum algorithm, we iteratively optimize the circuit parameters to transform the target velocity field into the SCWF and its corresponding discrete quantum state, enabling subsequent quantum simulation of fluid dynamics. Validations for one- and two-dimensional flow fields confirm the accuracy and robustness of our method, emphasizing its effectiveness in handling multiscale and multidimensional velocity fields. Our method is able to capture critical flow features like sources, sinks, and saddle points. Furthermore, it enables the generation of SCWFs for various vector fields, which can then be applied in quantum simulations through SCWF evolution.
format Preprint
id arxiv_https___arxiv_org_abs_2406_04652
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantum state preparation for a velocity field based on the spherical Clebsch wave function
Su, Hao
Xiong, Shiying
Yang, Yue
Quantum Physics
Fluid Dynamics
We propose a method for preparing the quantum state for a given velocity field, e.g., in fluid dynamics, via the spherical Clebsch wave function (SCWF). Using the pointwise normalization constraint for the SCWF, we develop a variational ansatz comprising parameterized controlled rotation gates. Employing the variational quantum algorithm, we iteratively optimize the circuit parameters to transform the target velocity field into the SCWF and its corresponding discrete quantum state, enabling subsequent quantum simulation of fluid dynamics. Validations for one- and two-dimensional flow fields confirm the accuracy and robustness of our method, emphasizing its effectiveness in handling multiscale and multidimensional velocity fields. Our method is able to capture critical flow features like sources, sinks, and saddle points. Furthermore, it enables the generation of SCWFs for various vector fields, which can then be applied in quantum simulations through SCWF evolution.
title Quantum state preparation for a velocity field based on the spherical Clebsch wave function
topic Quantum Physics
Fluid Dynamics
url https://arxiv.org/abs/2406.04652