activity
20172020
most citedSemidefinite programming formulations for the completely bounded norm of a tensor

2 citations · 5 across the 4 of their papers we have counts for

collaborators

7 papers

quant-ph20201 cited

Quantum algorithms for matrix scaling and matrix balancing

Joran van Apeldoorn, Sander Gribling, Yinan Li +3

Matrix scaling and matrix balancing are two basic linear-algebraic problems with a wide variety of applications, such as approximating the permanent, and pre-conditioning linear sy…

quant-ph20202 cited

The Haemers bound of noncommutative graphs

Sander Gribling, Yinan Li

We continue the study of the quantum channel version of Shannon's zero-error capacity problem. We generalize the celebrated Haemers bound to noncommutative graphs (obtained from qu…

quant-ph20192 cited

Semidefinite programming formulations for the completely bounded norm of a tensor

Sander Gribling, Monique Laurent

We show that a certain tensor norm, the completely bounded norm, can be expressed by a semidefinite program. This tensor norm recently attracted attention in the field of quantum c…

quant-ph2018

Simon's problem for linear functions

Joran van Apeldoorn, Sander Gribling

Simon's problem asks the following: determine if a function is one-to-one or if there exists a unique such that $f(x) = f(x \…

quant-ph2018

Convex optimization using quantum oracles

Joran van Apeldoorn, András Gilyén, Sander Gribling +1

We study to what extent quantum algorithms can speed up solving convex optimization problems. Following the classical literature we assume access to a convex set via various oracle…

q-fin.RM2018

On the complexity of solving a decision problem with flow-depending costs: the case of the IJsselmeer dikes

Aida Abiad, Sander Gribling, Domenico Lahaye +5

We consider a fundamental integer programming (IP) model for cost-benefit analysis flood protection through dike building in the Netherlands, due to Verweij and Zwaneveld. Experime…