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Alice Barthe

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Preprint Aug 2026

Bosonic Encodings for Hermite-Galerkin Discretizations of High-Dimensional PDEs and Bayesian Inverse Problems

The Koopman-von Neumann framework is applied to Bayesian inverse problems with Gaussian priors and observation noise, reducing posterior-state preparation to the preparation of a structured Hamiltonian's ground state and introducing a qubit encoding that supports efficient block encodings of the truncated operators.

Alice Barthe · 0 citations

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