Constrained search in imaginary time

We introduce an imaginary-time evolution method to evaluate the pure-state constrained-search functional from density-functional theory formulated on finite lattices. Simultaneously, it yields a potential that produces a prescribed density of an eigenstate. Besides being a computational scheme, this allows one to gain theoretical insights into the density-potential mapping. The method can be generalized to the optimization of the expectation value of a general self-adjoint operator on a finite-dimensional Hilbert space under a finite number of expectation-value constraints for commuting self-adjoint operators.

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Publication Details

Journal
Physical review. A/Physical review, A
Published
2025-09-26
DOI
https://doi.org/10.1103/g4ch-5x8m
Primary Topic
Artificial Intelligence in Games
Type
article
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article

Constrained search in imaginary time

Robert van Leeuwen, Markus Penz
Physical review. A/Physical review, A
Artificial Intelligence in Games
article

Constrained search in imaginary time

Robert van Leeuwen, Markus Penz
article en

Abstract

We introduce an imaginary-time evolution method to evaluate the pure-state constrained-search functional from density-functional theory formulated on finite lattices. Simultaneously, it yields a potential that produces a prescribed density of an eigenstate. Besides being a computational scheme, this allows one to gain theoretical insights into the density-potential mapping. The method can be generalized to the optimization of the expectation value of a general self-adjoint operator on a finite-dimensional Hilbert space under a finite number of expectation-value constraints for commuting self-adjoint operators.

Physical review. A/Physical review, AVol. 112(3)
Metropolitan University (BD), Max Planck Institute for the Structure and Dynamics of Matter (DE), University of Jyväskylä (FI)
Openalex Percentile: Top 86%
Artificial Intelligence in Games
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Constrained search in imaginary time — Robert van Leeuwen, Markus Penz · Physical review. A/Physical review, A (2025) | TGRS Research Map | TGRS