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Cited article:

Beyond Bits: A Review of Quantum Embedding Techniques for Efficient Information Processing

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Reconstructing charged particle track segments with a quantum-enhanced support vector machine

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Physical Review D 109 (5) (2024)
https://doi.org/10.1103/PhysRevD.109.052002

Neural networks with quantum states of light

Adrià Labay-Mora, Jorge García-Beni, Gian Luca Giorgi, Miguel C. Soriano and Roberta Zambrini
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 382 (2287) (2024)
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Fitting a collider in a quantum computer: tackling the challenges of quantum machine learning for big datasets

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Frontiers in Artificial Intelligence 6 (2023)
https://doi.org/10.3389/frai.2023.1268852

Quantum Algorithms for Charged Particle Track Reconstruction in the LUXE Experiment

Arianna Crippa, Lena Funcke, Tobias Hartung, Beate Heinemann, Karl Jansen, Annabel Kropf, Stefan Kühn, Federico Meloni, David Spataro, Cenk Tüysüz and Yee Chinn Yap
Computing and Software for Big Science 7 (1) (2023)
https://doi.org/10.1007/s41781-023-00109-6

Quantum pattern recognition algorithms for charged particle tracking

H. M. Gray
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380 (2216) (2022)
https://doi.org/10.1098/rsta.2021.0103

Event Classification with Quantum Machine Learning in High-Energy Physics

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Computing and Software for Big Science 5 (1) (2021)
https://doi.org/10.1007/s41781-020-00047-7

Quantum Gate Pattern Recognition and Circuit Optimization for Scientific Applications

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EPJ Web of Conferences 251 03023 (2021)
https://doi.org/10.1051/epjconf/202125103023

Hybrid quantum classical graph neural networks for particle track reconstruction

Cenk Tüysüz, Carla Rieger, Kristiane Novotny, et al.
Quantum Machine Intelligence 3 (2) (2021)
https://doi.org/10.1007/s42484-021-00055-9