Evaluation of QAOA for black-box serializability problem

A database transaction is considered serializable if it can be executed concurrently while maintaining the correctness of the results. A problem known as the black-box serializability problem involves verifying serializability in an environment where the execution context is not visible. Previous research has applied quantum annealing to address this problem. However, this study addresses it using gate-based quantum computers, enabling future applications for large-scale data. In this study, we employ the Quantum Approximate Optimization Algorithm (QAOA), a quantum algorithm that can be implemented on a quantum computer, to address this problem. Our performance evaluation involves using IBM quantum computer to compare the efficiency of QAOA with that of quantum annealing and classical methods.

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Published
2024-11-26
DOI
https://doi.org/10.1109/candarw64572.2024.00038
Primary Topic
Advanced Data Compression Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of QAOA for black-box serializability problem

S. Ôhara, Kazuhiro Saito, Hideyuki Kawashima
Advanced Data Compression Techniques
article

Evaluation of QAOA for black-box serializability problem

S. Ôhara, Kazuhiro Saito, Hideyuki Kawashima
article en

Abstract

A database transaction is considered serializable if it can be executed concurrently while maintaining the correctness of the results. A problem known as the black-box serializability problem involves verifying serializability in an environment where the execution context is not visible. Previous research has applied quantum annealing to address this problem. However, this study addresses it using gate-based quantum computers, enabling future applications for large-scale data. In this study, we employ the Quantum Approximate Optimization Algorithm (QAOA), a quantum algorithm that can be implemented on a quantum computer, to address this problem. Our performance evaluation involves using IBM quantum computer to compare the efficiency of QAOA with that of quantum annealing and classical methods.

Keio University Shonan Fujisawa (JP)
Research and Development
Openalex Percentile: Top 75%
Advanced Data Compression Techniques
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