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20222024
most citedEvaluating the Q-score of Quantum Annealers

17 citations · 25 across the 5 of their papers we have counts for

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5 papers

quant-ph2024

QuAS: Quantum Application Score for benchmarking the utility of quantum computers

Koen J. Mesman, Ward van der Schoot, Matthias Möller +1

Benchmarking quantum computers helps to quantify them and bringing the technology to the market. Various application-level metrics exist to benchmark a quantum device at an applica…

quant-ph2023

Noise robustness of a multiparty quantum summation protocol

Antón Rodríguez Otero, Niels M. P. Neumann, Ward van der Schoot +1

Connecting quantum computers to a quantum network opens a wide array of new applications, such as securely performing computations on distributed data sets. Near-term quantum netwo…

quant-ph2023★ 5 cited

Evaluating Three Levels of Quantum Metrics on Quantum-Inspire Hardware

Ward van der Schoot, Robert Wezeman, Pieter Thijs Eendebak +2

With the rise of quantum computing, many quantum devices have been developed and many more devices are being developed as we speak. This begs the question of which device excels at…

quant-ph2023★ 3 cited

Extending the Q-score to an Application-level Quantum Metric Framework

Ward van der Schoot, Robert Wezeman, Niels M. P. Neumann +2

Evaluating the performance of quantum devices is an important step towards scaling quantum devices and eventually using them in practice. The great number of available quantum metr…

quant-ph2022★ 17 cited

Evaluating the Q-score of Quantum Annealers

Ward van der Schoot, Daan Leermakers, Robert Wezeman +2

We report the Atos Q-score for D-Wave's quantum devices, classical algorithms and hybrid quantum-classical solver. Computing the Q-score entails solving the Max-Cut problem for inc…