Signal-Induced Heap Transform-Based QR-Decomposition and Quantum Circuit for Implementing 3-Qubit Operations

This article presents a novel approach to the decomposition of unitary operations for 3-qubit systems by 28 controlled rotations and no permutations. The QR decomposition is described, which is based on the concept of the discrete signal-induced heap transform (DsiHT) and its quantum analogue. This transform is generated by a given signal and may use different paths, or orders, of processing the data, and, among them, one can find paths that allow one to construct efficient quantum circuits for implementing multi-qubit unitary gates. The case of real unitary matrices is considered. The proposed approach is described in detail, and quantum circuits are presented for computing 3-qubit operations. This approach allowed us to write simple Qiskit codes to implement the decomposition of 3-qubit operations. Examples with quantum circuits for the quantum 3-qubit quantum cosine and Hartley transforms are described.

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Published
2025-05-30
DOI
https://doi.org/10.3390/info16060466
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1
Primary Topic
Quantum Computing Algorithms and Architecture
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article
Field-Weighted Citation Impact
2.48
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article

Signal-Induced Heap Transform-Based QR-Decomposition and Quantum Circuit for Implementing 3-Qubit Operations

Alexis Gomez, Artyom M. Grigoryan, Sos С. Agaian, Isaac Espinoza
1 citations
Information
Quantum Computing Algorithms and Architecture
2.48
article

Signal-Induced Heap Transform-Based QR-Decomposition and Quantum Circuit for Implementing 3-Qubit Operations

Alexis Gomez, Artyom M. Grigoryan, Sos С. Agaian, Isaac Espinoza
article en
1 citations

Abstract

This article presents a novel approach to the decomposition of unitary operations for 3-qubit systems by 28 controlled rotations and no permutations. The QR decomposition is described, which is based on the concept of the discrete signal-induced heap transform (DsiHT) and its quantum analogue. This transform is generated by a given signal and may use different paths, or orders, of processing the data, and, among them, one can find paths that allow one to construct efficient quantum circuits for implementing multi-qubit unitary gates. The case of real unitary matrices is considered. The proposed approach is described in detail, and quantum circuits are presented for computing 3-qubit operations. This approach allowed us to write simple Qiskit codes to implement the decomposition of 3-qubit operations. Examples with quantum circuits for the quantum 3-qubit quantum cosine and Hartley transforms are described.

InformationVol. 16(6)
City University of New York (US), The University of Texas at San Antonio (US)
Openalex Percentile: Top 10%
Quantum Computing Algorithms and Architecture
2.48
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Signal-Induced Heap Transform-Based QR-Decomposition and Quantum Circuit for Implementing 3-Qubit Operations — Alexis Gomez, Artyom M. Grigoryan, et al. · Information (2025) | TGRS Research Map | TGRS