Unsupervised event classification with graphs on classical and photonic quantum computers
Abstract Photonic Quantum Computers provide several benefits over the discrete qubit-based paradigm of quantum computing. By using the power of continuous-variable computing we build an anomaly detection model to use on searches for New Physics. Our model uses Gaussian Boson Sampling, a #P-hard prob...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-08-01
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Series: | Journal of High Energy Physics |
Subjects: | |
Online Access: | https://doi.org/10.1007/JHEP08(2021)170 |