3 citations · 5 across the 6 of their papers we have counts for
6 papers
First passage time in space-dependent stochastic resetting
Johannes Aspman, Daniel Mastropietro, Jakub Marecek
We consider the mean first passage time (MFPT) through a target of interest for a diffusive particle of Langevin type, with the added condition that the particle is reset to its or…
Identifiability of Autonomous and Controlled Open Quantum Systems
Waqas Parvaiz, Johannes Aspman, Ales Wodecki +2
Open quantum systems are a rich area of research in the intersection of quantum mechanics and stochastic analysis. By considering a variety of master equations, we unify multiple v…
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…
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…
Hybrid Methods in Polynomial Optimisation
Johannes Aspman, Gilles Bareilles, Vyacheslav Kungurtsev +2
The Moment/Sum-of-squares hierarchy provides a way to compute the global minimizers of polynomial optimization problems (POP), at the cost of solving a sequence of increasingly lar…
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…