Shallow Quantum Circuit Implementation of Symmetric Functions With Limited Ancillary Qubits

Optimizing the depth and number of ancillary qubits in quantum circuits is crucial in quantum computation, given the limitations imposed by current quantum devices. In this article, we introduce an innovative approach for implementing arbitrary symmetric Boolean functions using poly-logarithmic depth quantum circuits with only a logarithmic number of ancillary qubits. Symmetric functions are those whose outputs are dictated solely by the Hamming weight of the inputs. These functions find applications across various domains, including quantum machine learning and arithmetic circuit synthesis. Moreover, by fully leveraging the potential of qutrits, the ancilla count can be further reduced to just one. The key technique involves a novel poly-logarithmic depth quantum circuit designed to compute Hamming weight without the need for ancillary qubits. This quantum circuit for Hamming weight is of independent interest due to its wide-ranging applications, such as in quantum memory, quantum machine learning, and Hamiltonian dynamics simulations.

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Publication Details

Journal
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Published
2025-02-05
DOI
https://doi.org/10.1109/tcad.2025.3539002
Citations
3
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
7.44

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article

Shallow Quantum Circuit Implementation of Symmetric Functions With Limited Ancillary Qubits

Xiaoming Sun, Wei Zi, Junhong Nie
3 citations
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Quantum Computing Algorithms and Architecture
7.44
article

Shallow Quantum Circuit Implementation of Symmetric Functions With Limited Ancillary Qubits

Xiaoming Sun, Wei Zi, Junhong Nie
article en
3 citations

Abstract

Optimizing the depth and number of ancillary qubits in quantum circuits is crucial in quantum computation, given the limitations imposed by current quantum devices. In this article, we introduce an innovative approach for implementing arbitrary symmetric Boolean functions using poly-logarithmic depth quantum circuits with only a logarithmic number of ancillary qubits. Symmetric functions are those whose outputs are dictated solely by the Hamming weight of the inputs. These functions find applications across various domains, including quantum machine learning and arithmetic circuit synthesis. Moreover, by fully leveraging the potential of qutrits, the ancilla count can be further reduced to just one. The key technique involves a novel poly-logarithmic depth quantum circuit designed to compute Hamming weight without the need for ancillary qubits. This quantum circuit for Hamming weight is of independent interest due to its wide-ranging applications, such as in quantum memory, quantum machine learning, and Hamiltonian dynamics simulations.

IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsVol. 44(8)
Chinese Academy of Sciences (CN), Institute of Computing Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 4%
Quantum Computing Algorithms and Architecture
7.44
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Shallow Quantum Circuit Implementation of Symmetric Functions With Limited Ancillary Qubits — Xiaoming Sun, Wei Zi, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2025) | TGRS Research Map | TGRS