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20162026
most citedThe randomized measurement toolbox

374 citations · 708 across the 33 of their papers we have counts for

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Showing 2020Show all

10 papers · 1 filter

quant-ph2020

Stochastic Quantum Circuit Simulation Using Decision Diagrams

Thomas Grurl, Richard Kueng, Jürgen Fuß +1

Recent years have seen unprecedented advance in the design and control of quantum computers. Nonetheless, their applicability is still restricted and access remains expensive. Ther…

quant-ph2020

As Accurate as Needed, as Efficient as Possible: Approximations in DD-based Quantum Circuit Simulation

Stefan Hillmich, Richard Kueng, Igor L. Markov +1

Quantum computers promise to solve important problems faster than conventional computers. However, unleashing this power has been challenging. In particular, design automation runs…

cs.AR2020

Characteristics of Reversible Circuits for Error Detection

Lukas Burgholzer, Robert Wille, Richard Kueng

In this work, we consider error detection via simulation for reversible circuit architectures. We rigorously prove that reversibility augments the performance of this simple error…

quant-ph2020

Random Stimuli Generation for the Verification of Quantum Circuits

Lukas Burgholzer, Richard Kueng, Robert Wille

Verification of quantum circuits is essential for guaranteeing correctness of quantum algorithms and/or quantum descriptions across various levels of abstraction. In this work, we…

physics.optics2020★ 8 cited

Rapid characterisation of linear-optical networks via PhaseLift

Daniel Suess, Nicola Maraviglia, Richard Kueng +6

Linear-optical circuits are elementary building blocks for classical and quantum information processing with light. In particular, due to its monolithic structure, integrated photo…

quant-ph2020

Fast and robust quantum state tomography from few basis measurements

Fernando G. S. L. Brandão, Richard Kueng, Daniel Stilck França

Quantum state tomography is a powerful, but resource-intensive, general solution for numerous quantum information processing tasks. This motivates the design of robust tomography p…