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Optimized General Uniform Quantum State Preparation

Mark Ariel Levin*

University of Maryland, College Park, Maryland, 20742, USA

* Corresponding Author: Mark Ariel Levin. Email: email

Journal of Quantum Computing 2024, 6, 15-24. https://doi.org/10.32604/jqc.2024.047423

Abstract

Quantum algorithms for unstructured search problems rely on the preparation of a uniform superposition, traditionally achieved through Hadamard gates. However, this incidentally creates an auxiliary search space consisting of nonsensical answers that do not belong in the search space and reduce the efficiency of the algorithm due to the need to neglect, un-compute, or destructively interfere with them. Previous approaches to removing this auxiliary search space yielded large circuit depth and required the use of ancillary qubits. We have developed an optimized general solver for a circuit that prepares a uniform superposition of any N states while minimizing depth and without the use of ancillary qubits. We show that this algorithm is efficient, especially in its use of two wire gates, and that it has been verified on an IonQ quantum computer and through application to a quantum unstructured search algorithm.

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APA Style
Levin, M.A. (2024). Optimized general uniform quantum state preparation. Journal of Quantum Computing, 6(1), 15-24. https://doi.org/10.32604/jqc.2024.047423
Vancouver Style
Levin MA. Optimized general uniform quantum state preparation. J Quantum Comput . 2024;6(1):15-24 https://doi.org/10.32604/jqc.2024.047423
IEEE Style
M.A. Levin, "Optimized General Uniform Quantum State Preparation," J. Quantum Comput. , vol. 6, no. 1, pp. 15-24. 2024. https://doi.org/10.32604/jqc.2024.047423



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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