Direct Application of QAOA Algorithm to PUBO Problem

Previously, the approach to solving the PUBO (multiple unconstrained binary optimization) was to transform it into the QUBO (Quadratic Unconstrained Binary Optimization) via variable substitution. Variable substitution is bound to introduce new variables, and when using the QAOA algorithm for solution, it also implies that inevitably more controllable qubits are required. However, this paper will explore how to directly apply the QAOA algorithm to the PUBO problem without converting the PUBO to QUBO, thereby reducing the utilization of qubits.

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Published
2025-03-28
DOI
https://doi.org/10.1109/cacml64929.2025.11010958
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
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article

Direct Application of QAOA Algorithm to PUBO Problem

Junya Wang
Metaheuristic Optimization Algorithms Research
article

Direct Application of QAOA Algorithm to PUBO Problem

Junya Wang
article en

Abstract

Previously, the approach to solving the PUBO (multiple unconstrained binary optimization) was to transform it into the QUBO (Quadratic Unconstrained Binary Optimization) via variable substitution. Variable substitution is bound to introduce new variables, and when using the QAOA algorithm for solution, it also implies that inevitably more controllable qubits are required. However, this paper will explore how to directly apply the QAOA algorithm to the PUBO problem without converting the PUBO to QUBO, thereby reducing the utilization of qubits.

Sun Yat-sen University (CN)
Openalex Percentile: Top 95%
Metaheuristic Optimization Algorithms Research
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