activity
20122026
most citedOn existence of global solutions of the one-dimensional cubic NLS for initial data in the modulation space

25 citations · 59 across the 11 of their papers we have counts for

collaborators

12 papers

quant-ph2026

Opinion bubbles in the quantum Buridan's ass problem

Leonid Chaichenets, Jaroslav Novotný, Igor Jex +2

The quantum Buridan's ass problem concerns a network of interconnected nodes in which transitions between the nodes are governed by the laws of quantum mechanics. In such situation…

quant-ph2025

Out of Tune: Demystifying Noise-Effects on Quantum Fourier Models

Maja Franz, Melvin Strobl, Leonid Chaichenets +3

Variational quantum algorithms have received substantial theoretical and empirical attention. As the underlying variational quantum circuit (VQC) can be represented by Fourier seri…

math.FA2024

Complex Interpolation and the Monotonicity in the Spatial Integrability Parameter of Exponentially Weighted Modulation Spaces

Leonid Chaichenets, Jan Hausmann

We introduce the notion of common retraction and coretraction for families of Banach spaces, formulate a framework for identifying interpolation spaces, and apply it to modulation…

math.AP2021

Higher order NLS with anisotropic dispersion and modulation spaces: a global existence and scattering result

Leonid Chaichenets, Nikolaos Pattakos

In this paper we transfer a small data global existence and scattering result by Wang and Hudzik to the more general case of modulation spaces where $q =…

math.AP2019★ 2 cited

On the global wellposedness of the Klein-Gordon equation for initial data in modulation spaces

Leonid Chaichenets, Nikolaos Pattakos

We prove global wellposedness of the Klein-Gordon equation with power nonlinearity , where , in dimension with initial data i…

math.AP2019★ 2 cited

On the global well-posedness of the quadratic NLS on

Leonid Chaichenets, Dirk Hundertmark, Peer Christian Kunstmann +1

We study the one dimensional nonlinear Schrödinger equation with power nonlinearity for and initial data . We…