activity
19982026
most citedConvex optimization using quantum oracles

34 citations · 217 across the 27 of their papers we have counts for

collaborators

31 papers

quant-ph2026

Fast Quantum Algorithms for Learning Linear Threshold Functions

Aleksandrs Krivcenko, Tuyen Nguyen, Ronald de Wolf

Linear threshold functions are , where the weight vector is a unit vector, is a threshold, and ty…

quant-ph2022★ 4 cited

Generating EPR-pairs from an -party resource state

Sergey Bravyi, Yash Sharma, Mario Szegedy +1

Motivated by quantum network applications over classical channels, we initiate the study of -party resource states from which LOCC protocols can create EPR-pairs between any …

quant-ph2022

Influence in Completely Bounded Block-multilinear Forms and Classical Simulation of Quantum Algorithms

Nikhil Bansal, Makrand Sinha, Ronald de Wolf

The Aaronson-Ambainis conjecture (Theory of Computing '14) says that every low-degree bounded polynomial on the Boolean hypercube has an influential variable. This conjecture, if t…

cs.GL2021

A Guide for New Program Committee Members at Theoretical Computer Science Conferences

Yfke Dulek, Stacey Jeffery, Christian Majenz +3

In theoretical computer science, conferences play an important role in the scientific process. The decisions whether to accept or reject articles is taken by the program committee…

quant-ph2020★ 2 cited

The Role of Symmetry in Quantum Query-to-Communication Simulation

Sourav Chakraborty, Arkadev Chattopadhyay, Peter Høyer +3

Buhrman, Cleve and Wigderson (STOC'98) showed that for every Boolean function f : {-1,1}^n to {-1,1} and G in {AND_2, XOR_2}, the bounded-error quantum communication complexity of…

quant-ph2020★ 4 cited

Improved Quantum Boosting

Adam Izdebski, Ronald de Wolf

Boosting is a general method to convert a weak learner (which generates hypotheses that are just slightly better than random) into a strong learner (which generates hypotheses that…