Simple quantum algorithm to efficiently prepare sparse states

State preparation is a fundamental routine in quantum computation, for which many algorithms have been proposed. Among them, perhaps the simplest one is the Grover-Rudolph algorithm. In this paper we analyze the performance of this algorithm when the state to prepare is sparse. We show that the gate complexity is linear in the number of nonzero amplitudes in the state and quadratic in the number of qubits. We then introduce a simple modification of the algorithm, which makes the dependence on the number of qubits also linear. This is competitive with the best known algorithms for sparse state preparation.

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Publication Details

Journal
Physical review. A/Physical review, A
Published
2024-09-10
DOI
https://doi.org/10.1103/physreva.110.032609
Citations
6
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.08

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article

Simple quantum algorithm to efficiently prepare sparse states

Antonio F. Rotundo, Debora Ramacciotti, Andreea I. Lefterovici
6 citations
Physical review. A/Physical review, A
Quantum Computing Algorithms and Architecture
2.08
article

Simple quantum algorithm to efficiently prepare sparse states

Antonio F. Rotundo, Debora Ramacciotti, Andreea I. Lefterovici
article en
6 citations

Abstract

State preparation is a fundamental routine in quantum computation, for which many algorithms have been proposed. Among them, perhaps the simplest one is the Grover-Rudolph algorithm. In this paper we analyze the performance of this algorithm when the state to prepare is sparse. We show that the gate complexity is linear in the number of nonzero amplitudes in the state and quadratic in the number of qubits. We then introduce a simple modification of the algorithm, which makes the dependence on the number of qubits also linear. This is competitive with the best known algorithms for sparse state preparation.

Physical review. A/Physical review, AVol. 110(3)
Leibniz University Hannover (DE)
Niedersächsische Ministerium für Wissenschaft und Kultur, Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 11%
Quantum Computing Algorithms and Architecture
2.08
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