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Quantum Machine Learning
Manifestations of changes in entanglement and onset of synchronization in tomograms
arXiv
Authors: Soumyabrata Paul, S. Lakshmibala, V. Balakrishnan, S. Ramanan
Year
2021
Paper ID
40265
Status
Preprint
Abstract Read
~2 min
Abstract Words
97
Citations
N/A
Abstract
Quantum state reconstruction for continuous-variable systems such as the radiation field poses challenges which arise primarily from the large dimensionality of the Hilbert space. Many proposals for state reconstruction exist, ranging from standard reconstruction protocols to applications of machine learning. No universally applicable protocol exists, however, for extracting the Wigner function from the optical tomogram of an arbitrary state of light. We establish that nonclassical effects such as entanglement changes during dynamical evolution and the onset of quantum synchronization are mirrored in qualitative changes in optical tomograms themselves, circumventing the need for state reconstruction for this purpose.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2021 reference point for readers tracking recent quantum research.
- Quantum state reconstruction for continuous-variable systems such as the radiation field poses challenges which arise primarily from the large dimensionality of the Hilbert space.
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