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Open Quantum Systems Decoherence
Quantum Machine Learning
Quantum Simulation
Entanglement Theory Quantum Correlations
Tales told by coloured tangles
arXiv
Authors: Daniel Moskovich, Avishy Y. Carmi
Year
2015
Paper ID
26106
Status
Preprint
Abstract Read
~2 min
Abstract Words
60
Citations
N/A
Abstract
Tangle machines are a topologically inspired diagrammatic formalism to describe information flow in networks. This paper begins with an expository account of tangle machines motivated by the problem of describing `covariance intersection' fusion of Gaussian estimators in networks. It then gives two examples in which tangle machines tell stories of adiabatic quantum computations, and discusses learning tangle machines from data.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2015 reference point for readers tracking recent quantum research.
- Tangle machines are a topologically inspired diagrammatic formalism to describe information flow in networks.
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