CUAOA: A Novel CUDA-Accelerated Simulation Framework for the QAOA

2024/07/17 by Stein, Jonas, Jonas Stein, D. Bucher +10 · 1 citation
Computer Science · #Distributed and Parallel Computing Systems #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Physical sciences #Parallel Computing and Optimization Techniques #Quantum Physics (quant-ph) #Real-Time Systems Scheduling

paper · pdf · doi:10.48550/arxiv.2407.13012

openalex publication_date 2024/07/17 · openalex created_date 2024/12/21 · openalex updated_date 2026/07/28

Abstract

CUAOA is a GPU accelerated QAOA simulation framework utilizing the NVIDIA CUDA toolkit. This framework offers a complete interface for QAOA simulations, enabling the calculation of (exact) expectation values, direct access to the statevector, fast sampling, and high-performance optimization methods using an advanced state-of-the-art gradient calculation technique. The framework is designed for use in Python and Rust, providing flexibility for integration into a wide range of applications, including those requiring fast algorithm implementations leveraging QAOA at its core.

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