Low-qubit quantum circuits for efficient integer squaring

Abstract Quantum squaring circuits play a critical role in many quantum algorithms; however, most existing designs incur a significant qubit overhead due to the loss of input states and excessive use of ancillary qubits. In this work, we introduce a qubit-efficient quantum circuit for integer squaring that achieves a linear qubit cost of only 3 N qubits for an N -bit input, significantly outperforming state-of-the-art designs that scale quadratically in terms of qubits. Our approach reintegrates the input operand after computation, enabling the uncomputation of intermediate results and efficient recycling of ancilla qubits. This reversible strategy prevents the retention of redundant information, which is a common limitation of prior works. The comparative analysis confirms the scalability and practicality of our design for qubit-constrained quantum hardware, offering a promising solution for arithmetic operations in resource-limited quantum environments.

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Publication Details

Journal
The Journal of Supercomputing
Published
2026-02-13
DOI
https://doi.org/10.1007/s11227-026-08255-5
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00

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article

Low-qubit quantum circuits for efficient integer squaring

Ester M. Garzón, Ernestas Filatovas, Laura M. Donaire, Francisco Orts et al.
The Journal of Supercomputing
Quantum Computing Algorithms and Architecture
article

Low-qubit quantum circuits for efficient integer squaring

Ester M. Garzón, Ernestas Filatovas, Laura M. Donaire, Francisco Orts, Gloria Ortega
article en

Abstract

Abstract Quantum squaring circuits play a critical role in many quantum algorithms; however, most existing designs incur a significant qubit overhead due to the loss of input states and excessive use of ancillary qubits. In this work, we introduce a qubit-efficient quantum circuit for integer squaring that achieves a linear qubit cost of only 3 N qubits for an N -bit input, significantly outperforming state-of-the-art designs that scale quadratically in terms of qubits. Our approach reintegrates the input operand after computation, enabling the uncomputation of intermediate results and efficient recycling of ancilla qubits. This reversible strategy prevents the retention of redundant information, which is a common limitation of prior works. The comparative analysis confirms the scalability and practicality of our design for qubit-constrained quantum hardware, offering a promising solution for arithmetic operations in resource-limited quantum environments.

The Journal of SupercomputingVol. 82(3)
Vilnius University (LT), University of Almería (ES)
Lietuvos Mokslo Taryba, Universidad de Almería, Agencia Estatal de Investigación, European Social Fund
Openalex Percentile: Top 58%
Quantum Computing Algorithms and Architecture
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