works on

From the 1 of 5 linked papers with an AI index.

activity
20242026
collaborators

5 papers

quant-ph2026

Identifiability of Autonomous and Controlled Open Quantum Systems

Waqas Parvaiz, Johannes Aspman, Ales Wodecki +2

The paper studies how to determine (identify) the dynamics of autonomous and controlled open quantum systems by linking their master equations to classical linear and bilinear syst…

cond-mat.stat-mech2025

Stochastic restarting with multiple restart conditions

Johannes Aspman, Daniel Mastropietro, Jakub Marecek

We consider the mean first passage time (MFPT) for a diffusive particle in a potential landscape with the extra condition that the particle is reset to its original position with s…

cs.LG2025

Tame Riemannian Stochastic Approximation

Johannes Aspman, Vyacheslav Kungurtsev, Reza Roohi Seraji

We study the properties of stochastic approximation applied to a tame nondifferentiable function subject to constraints defined by a Riemannian manifold. The objective landscape of…

quant-ph2024

Topological quantum compilation of two-qubit gates

Phillip C. Burke, Christos Aravanis, Johannes Aspman +2

We investigate the topological quantum compilation of two-qubit operations within a system of Fibonacci anyons. Our primary goal is to generate gates that are approximately leakage…

math.OC2024

Piecewise Polynomial Regression of Tame Functions via Integer Programming

Gilles Bareilles, Johannes Aspman, Jiri Nemecek +1

Tame functions are a class of nonsmooth, nonconvex functions, which feature in a wide range of applications: functions encountered in the training of deep neural networks with all…