activity
20042026
most citedPath integrals and symmetry breaking for optimal control theory

317 citations · 2.2k across the 59 of their papers we have counts for

collaborators

63 papers

quant-ph2026

Hybrid Lindblad dynamics and Bayesian inference from stochastic processes

Hilbert J. Kappen, Hilbert Kappen

We develop a Bayesian formulation of diffusive quantum-classical dynamics by treating the wave function and classical variables as components of an ordinary stochastic process. The…

quant-ph2026

Contracting Tensor Networks with Generalized Belief Propagation

Joseph Tindall, Grace M. Sommers, Hilbert Kappen

Recent years have seen a growing interest in the use of belief propagation - an algorithm originally introduced for performing statistical inference on graphical models - for appro…

quant-ph2025

Path Integral Quantum Control for Quantum Chemistry Applications

Peyman Najafi, Aarón Villanueva, Hilbert Kappen

The Path integral Quantum Control (PiQC) algorithm was recently introduced by Villanueva et al. (2025) as a new approach for computing optimal controls in open and closed quantum s…

cond-mat.quant-gas2024★ 7 cited

Fröhlich versus Bose-Einstein Condensation in Pumped Bosonic Systems

Wenhao Xu, Andrey A. Bagrov, Farhan T. Chowdhury +4

Magnon-condensation, which emerges in pumped bosonic systems at room temperature, continues to garner great interest for its long-lived coherence. While traditionally formulated in…

quant-ph2024

Path integral control of open quantum systems

Aarón Villanueva, Hilbert Kappen

We investigate open-loop quantum state preparation for a class of open quantum systems whose dynamics follow a Gorini-Kossakowski-Lindblad-Sudarshan (GKLS) master equation that adm…

cond-mat.mes-hall2023

Stochastic syncing in sinusoidally driven atomic orbital memory

Werner M. J. van Weerdenburg, Hermann Osterhage, Ruben Christianen +4

Stochastically fluctuating multi-well systems as physical implementations of energy-based machine learning models promise a route towards neuromorphic hardware. Understanding the r…