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Main Authors: Chernikov, Artem, Zakharova, Karina, Sysoev, Sergey
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2506.12017
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author Chernikov, Artem
Zakharova, Karina
Sysoev, Sergey
author_facet Chernikov, Artem
Zakharova, Karina
Sysoev, Sergey
contents In this paper, we present an algorithm for preparing quantum states of the form $\sum_{i=0}^{n-1} α_i |i\rangle$, where the coefficients $α_i$ are specified by a quantum oracle. Our method achieves this task twice as fast as the best existing algorithm known to the authors. Such state preparation is essential for quantum algorithms that process large classical inputs, including matrix inversion and linear system solvers. The standard approach relies on amplitude amplification, a process that may require multiple, time-consuming oracle queries. Consequently, reducing the number of queries - and thereby the overall time complexity can lead to significant performance improvements in practice.
format Preprint
id arxiv_https___arxiv_org_abs_2506_12017
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Optimized Amplitude Amplification for Quantum State Preparation
Chernikov, Artem
Zakharova, Karina
Sysoev, Sergey
Quantum Physics
Computational Complexity
In this paper, we present an algorithm for preparing quantum states of the form $\sum_{i=0}^{n-1} α_i |i\rangle$, where the coefficients $α_i$ are specified by a quantum oracle. Our method achieves this task twice as fast as the best existing algorithm known to the authors. Such state preparation is essential for quantum algorithms that process large classical inputs, including matrix inversion and linear system solvers. The standard approach relies on amplitude amplification, a process that may require multiple, time-consuming oracle queries. Consequently, reducing the number of queries - and thereby the overall time complexity can lead to significant performance improvements in practice.
title Optimized Amplitude Amplification for Quantum State Preparation
topic Quantum Physics
Computational Complexity
url https://arxiv.org/abs/2506.12017