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20202026
most citedThe minimal canonical form of a tensor network

14 citations · 34 across the 12 of their papers we have counts for

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6 papers · 1 filter

quant-ph2026

Robustness of Hidden-Variable Theories and Matrix Scaling

Giulio Malavolta, Harold Nieuwboer, Akshay Ramachandran +1

Motivated by quantum foundations and complexity theory, Aaronson formalized a hidden-variable theory inspired by a proposal by Schrödinger. To any quantum state and unitary, this S…

quant-ph2025

Self-concordant Schrödinger operators: spectral gaps and optimization without condition numbers

Sander Gribling, Simon Apers, Harold Nieuwboer +1

Spectral gaps play a fundamental role in many areas of mathematics, computer science, and physics. In quantum mechanics, the spectral gap of Schrödinger operators has a long histor…

quant-ph2023★ 3 cited

Basic quantum subroutines: finding multiple marked elements and summing numbers

Joran van Apeldoorn, Sander Gribling, Harold Nieuwboer

We show how to find all marked elements in a list of size using the optimal number of quantum queries and only a polylogarithmic overhead in the gate comple…

quant-ph2022★ 14 cited

The minimal canonical form of a tensor network

Arturo Acuaviva, Visu Makam, Harold Nieuwboer +4

Tensor networks have a gauge degree of freedom on the virtual degrees of freedom that are contracted. A canonical form is a choice of fixing this degree of freedom. For matrix prod…

quant-ph2021

Improved quantum lower and upper bounds for matrix scaling

Sander Gribling, Harold Nieuwboer

Matrix scaling is a simple to state, yet widely applicable linear-algebraic problem: the goal is to scale the rows and columns of a given non-negative matrix such that the rescaled…

quant-ph2020★ 1 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…