Tang, Xulong
(2022)
Q-GPU: A Recipe of Optimizations for Quantum Circuit Simulation Using GPUs.
In: Pitt Momentum Fund 2022.
Abstract
In recent years, quantum computing has undergone significant developments and has established its supremacy in many application domains. While quantum hardware is accessible to the public through the cloud environment, a robust and efficient quantum circuit simulator is necessary to investigate the constraints and foster quantum computing development, such as quantum algorithm development and quantum device architecture exploration. In this project, we propose to systematically investigate the deficiencies in quantum circuit simulation (QCS) and propose Q-GPU, a framework that leverages GPUs with comprehensive optimizations to allow efficient and scalable QCS.
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