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Lagrangian Trajectories and Closure Models in Mixed Quantum-Classical Dynamics

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Geometric Science of Information (GSI 2023)

Abstract

Mixed quantum-classical models have been proposed in several contexts to overcome the computational challenges of fully quantum approaches. However, current models typically suffer from long-standing consistency issues, and, in some cases, invalidate Heisenberg’s uncertainty principle. Here, we present a fully Hamiltonian theory of quantum-classical dynamics that appears to be the first to ensure a series of consistency properties, beyond positivity of quantum and classical densities. Based on Lagrangian phase-space paths, the model possesses a quantum-classical Poincaré integral invariant as well as infinite classes of Casimir functionals. We also exploit Lagrangian trajectories to formulate a finite-dimensional closure scheme for numerical implementations.

This work was made possible through the support of Grant 62210 from the John Templeton Foundation. The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the John Templeton Foundation.

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References

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Correspondence to Cesare Tronci .

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Tronci, C., Gay-Balmaz, F. (2023). Lagrangian Trajectories and Closure Models in Mixed Quantum-Classical Dynamics. In: Nielsen, F., Barbaresco, F. (eds) Geometric Science of Information. GSI 2023. Lecture Notes in Computer Science, vol 14072. Springer, Cham. https://doi.org/10.1007/978-3-031-38299-4_31

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  • DOI: https://doi.org/10.1007/978-3-031-38299-4_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-38298-7

  • Online ISBN: 978-3-031-38299-4

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