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28 May 2024 Evaluation of quantum image processing in CUDA-based simulation
Akira Hasegawa, Yoshihiro Maeda, Norishige Fukushima
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Proceedings Volume 13083, SPIE Future Sensing Technologies 2024; 1308304 (2024) https://doi.org/10.1117/12.3022770
Event: SPIE Future Sensing Technologies, 2024, Yokohama, Japan
Abstract
Quantum computers are expected to be the next-generation computers in various fields. Quantum computers are different from classical computers, which store the current binary information of 0 and 1. Quantum computers can use quantum superposition, which can hold 0 to 1 probability as continuous quantities in one qubit. Therefore, existing algorithms are not necessarily efficient computational algorithms on quantum computers. GPU-based quantum simulations, such as cuQuantum, have recently been released to develop quantum algorithms. This paper focuses on quantum image processing, presents how far quantum image processing can be efficiently described today and verifies on GPUs that multiple image processing can be described using cuQuantum.
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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Akira Hasegawa, Yoshihiro Maeda, and Norishige Fukushima "Evaluation of quantum image processing in CUDA-based simulation", Proc. SPIE 13083, SPIE Future Sensing Technologies 2024, 1308304 (28 May 2024); https://doi.org/10.1117/12.3022770
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KEYWORDS
Quantum communications
Quantum gates
Image processing
Quantum computers
Quantum circuits
Quantum computing
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