Optimization for Gaussian Elimination-Based NNA-Compliant Circuit Synthesis Method by Inserting CN OT Gates

Quantum circuits should comply with the Nearest Neighbor Architecture (NNA), which primarily supports only two-qubit operations between adjacent qubits. Typically, con-verting a quantum circuit to an NNA -compliant circuit involves the insertion of SWAP gates. However, employing Gaussian Elimination often results in a smaller NNA -compliant quantum circuit. If we fix the order of qubits to apply Gaussian Elimination (GE), it appears there is no room to improve the GE-based synthesis method. This paper reveals that we can enhance the GE-based method by inserting CNOT gates before and/or after a target circuit in many cases. As a result, we achieve a reduction of approximately 16% in the number of CNOT gates by inserting CNOT gates into the target circuits compared to the original GE-based method. Additionally, we utilize a Simulated Annealing (SA)-based method to achieve an optimal circuit, resulting in an 18% reduction in the number of CNOT gates by inserting CNOT gates, compared to the original GE-based method.

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Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1109/qce60285.2024.00116
Primary Topic
Analog and Mixed-Signal Circuit Design
Type
article
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article

Optimization for Gaussian Elimination-Based NNA-Compliant Circuit Synthesis Method by Inserting CN OT Gates

Atsushi Matsuo, Zhijun Qi, Shigeru Yamashita
Analog and Mixed-Signal Circuit Design
article

Optimization for Gaussian Elimination-Based NNA-Compliant Circuit Synthesis Method by Inserting CN OT Gates

Atsushi Matsuo, Zhijun Qi, Shigeru Yamashita
article en

Abstract

Quantum circuits should comply with the Nearest Neighbor Architecture (NNA), which primarily supports only two-qubit operations between adjacent qubits. Typically, con-verting a quantum circuit to an NNA -compliant circuit involves the insertion of SWAP gates. However, employing Gaussian Elimination often results in a smaller NNA -compliant quantum circuit. If we fix the order of qubits to apply Gaussian Elimination (GE), it appears there is no room to improve the GE-based synthesis method. This paper reveals that we can enhance the GE-based method by inserting CNOT gates before and/or after a target circuit in many cases. As a result, we achieve a reduction of approximately 16% in the number of CNOT gates by inserting CNOT gates into the target circuits compared to the original GE-based method. Additionally, we utilize a Simulated Annealing (SA)-based method to achieve an optimal circuit, resulting in an 18% reduction in the number of CNOT gates by inserting CNOT gates, compared to the original GE-based method.

Ritsumeikan University (JP), IBM Research - Tokyo (JP)
Openalex Percentile: Top 77%
Analog and Mixed-Signal Circuit Design
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