activity
20012023
most citedFrom Monte Carlo to Quantum Computation

5 citations · 10 across the 14 of their papers we have counts for

collaborators

15 papers

math.NA2023

Randomized Complexity of Vector-Valued Approximation

Stefan Heinrich

We study the randomized -th minimal errors (and hence the complexity) of vector valued approximation. In a recent paper by the author [Randomized complexity of parametric integr…

math.NA2023

Randomized Complexity of Parametric Integration and the Role of Adaption II. Sobolev Spaces

Stefan Heinrich

We study the complexity of randomized computation of integrals depending on a parameter, with integrands from Sobolev spaces. That is, for , $1\le p,q\le \…

math.NA2023★ 1 cited

Randomized Complexity of Parametric Integration and the Role of Adaption I. Finite Dimensional Case

Stefan Heinrich

We study the randomized -th minimal errors (and hence the complexity) of vector valued mean computation, which is the discrete version of parametric integration. The results of…

math.NA2020

Lower bounds for the number of random bits in Monte Carlo algorithms

Stefan Heinrich

We continue the study of restricted Monte Carlo algorithms in a general setting. Here we show a lower bound for minimal errors in the setting with finite restriction in terms of de…

math.NA2013

On the randomized complexity of Banach space valued integration

Stefan Heinrich, Aicke Hinrichs

We study the complexity of Banach space valued integration in the randomized setting. We are concerned with -times continuously differentiable functions on the -dimensional u…

quant-ph2006

Quantum Lower Bounds by Entropy Numbers

Stefan Heinrich

We use entropy numbers in combination with the polynomial method to derive a new general lower bound for the n-th minimal error in the quantum setting of information-based complexi…