aiqbench analysis
This paper advances theoretical quantum mechanics by deriving absorbing boundary conditions from complex absorbing potentials under Dirichlet limits, offering a potentially more practical framework for simulating detection probabilities in the Schrödinger equation. The work addresses fundamental computational challenges in quantum systems without introducing new hardware or machine learning models.
Extended Results on Absorbing Boundary Conditions as Limits of Complex Potentials
arXiv:2610.11865v1 Announce Type: new Abstract: In quantum mechanics, among the proposals for how to compute the probability distribution of detection time and place along a given spatial surface or in a given volume, two leading candidates involve absorbing boundary conditions (ABCs) and complex absorbing potentials (CAPs) for the Schr\"odinger equation. Here, we extend earlier results on how the two are related. It was previously shown that ABCs arise as a limiting case of CAPs, but for that a (reflecting) Neumann boundary condition was assumed at the end of the region with the CAP. Here, we obtain ABCs in a different limit using a Dirichlet boundary condition at the end of the CAP region, which seems more practically relevant and realizable.
Abstract:In quantum mechanics, among the proposals for how to compute the probability distribution of detection time and place along a given spatial surface or in a given volume, two leading candidates involve absorbing boundary conditions (ABCs) and complex absorbing potentials (CAPs) for the Schrödinger equation. Here, we extend earlier results on how the two are related. It was previously shown that ABCs arise as a limiting case of CAPs, but for that a (reflecting) Neumann boundary condition was assumed at the end of the region with the CAP. Here, we obtain ABCs in a different limit using a Dirichlet boundary condition at the end of the CAP region, which seems more practically relevant and realizable.
arXiv:2610.11865 [quant-ph]
(or arXiv:2610.11865v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.11865 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 206 words
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