Improving Hybrid Quantum Annealing Tomographic Image Reconstruction with Regularization Strategies

Merlin A. Nau; A. Hans Vija; Maximilian P. Reymann; W. Gohn; Andreas Maier

doi:10.1007/978-3-658-44037-4_3

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Improving Hybrid Quantum Annealing Tomographic Image Reconstruction with Regularization Strategies

Merlin A. Nau A. Hans Vija Maximilian P. Reymann W. Gohn Andreas Maier

Year: 2024 Informatik aktuell Pages: 3-8 Publisher: Springer Nature

DOI: 10.1007/978-3-658-44037-4_3

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Keywords:

Regularization (linguistics) Tomographic reconstruction Quantum annealing Quantum Computer science Simulated annealing Materials science Computer vision Algorithm Iterative reconstruction Artificial intelligence Physics Quantum computer Quantum mechanics

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Advanced Electron Microscopy Techniques and Applications

Life Sciences → Biochemistry, Genetics and Molecular Biology → Structural Biology

Quantum Computing Algorithms and Architecture

Physical Sciences → Computer Science → Artificial Intelligence

Advanced X-ray Imaging Techniques

Physical Sciences → Physics and Astronomy → Radiation

Improving Hybrid Quantum Annealing Tomographic Image Reconstruction with Regularization Strategies

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Citation History

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