Evert P. L. van Nieuwenburg

According to our database, Evert P. L. van Nieuwenburg authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Learning Pole Structures of Hadronic States using Predictive Uncertainty Estimation.

Felix Frohnert, Denny Lane B. Sombillo, Evert P. L. van Nieuwenburg, Patrick Emonts

CoRR, July, 2025

Quantum computing and artificial intelligence: status and perspectives.

Giovanni Acampora, Andris Ambainis, Natalia Ares, Leonardo Banchi, Pallavi Bhardwaj, Daniele Binosi, G. Andrew D. Briggs, Tommaso Calarco, Vedran Dunjko, Jens Eisert, Olivier Ezratty, Paul Erker, Federico Fedele, Elies Gil-Fuster, Martin Gärttner, Mats Granath, Markus Heyl, Iordanis Kerenidis, Matthias Klusch, Anton Frisk Kockum, Richard Kueng, Mario Krenn, Jörg Lässig, Antonio Macaluso, Sabrina Maniscalco, Florian Marquardt, Kristel Michielsen, Gorka Muñoz-Gil, Daniel Müssig, Hendrik Poulsen Nautrup, Evert P. L. van Nieuwenburg, Roman Orus, Jörg Schmiedmayer, Markus Schmitt, Philipp Slusallek, Filippo Vicentini, Christof Weitenberg, Frank K. Wilhelm

CoRR, May, 2025

Detecting underdetermination in parameterized quantum circuits.

Marie C. Kempkes, Jakob Spiegelberg, Evert P. L. van Nieuwenburg, Vedran Dunjko

CoRR, April, 2025

Double descent in quantum machine learning.

Marie C. Kempkes, Aroosa Ijaz, Elies Gil-Fuster, Carlos Bravo-Prieto, Jakob Spiegelberg, Evert P. L. van Nieuwenburg, Vedran Dunjko

CoRR, January, 2025

Learning density functionals from noisy quantum data.

Emiel Koridon, Felix Frohnert, Eric Prehn, Evert P. L. van Nieuwenburg, Jordi Tura, Stefano Polla

Mach. Learn. Sci. Technol., 2025

Discovering emergent connections in quantum physics research via dynamic word embeddings.

Felix Frohnert, Xuemei Gu, Mario Krenn, Evert P. L. van Nieuwenburg

Mach. Learn. Sci. Technol., 2025

2024

Explainable representation learning of small quantum states.

Felix Frohnert, Evert P. L. van Nieuwenburg

Mach. Learn. Sci. Technol., March, 2024

Reliable Classifications with Guaranteed Confidence Using the Dempster-Shafer Theory of Evidence.

Marie C. Kempkes, Vedran Dunjko, Evert P. L. van Nieuwenburg, Jakob Spiegelberg

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2022

Reusability report: Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules.

Matteo M. Wauters, Evert P. L. van Nieuwenburg

Nat. Mac. Intell., October, 2022

Learning Coulomb Diamonds in Large Quantum Dot Arrays.

Oswin Krause, Anasua Chatterjee, Ferdinand Kuemmeth, Evert P. L. van Nieuwenburg

CoRR, 2022

2021

To V or not to V.

Evert P. L. van Nieuwenburg

Nat. Comput. Sci., 2021

Reinforcement learning decoders for fault-tolerant quantum computation.

Ryan Sweke, Markus S. Kesselring, Evert P. L. van Nieuwenburg, Jens Eisert

Mach. Learn. Sci. Technol., 2021

2020

Roof Age Determination for the Automated Site-Selection of Rooftop Solar.

Chris Heinrich, Michael Laskin, Simas Glinskis, Evert P. L. van Nieuwenburg

CoRR, 2020

2019

NetKet: A machine learning toolkit for many-body quantum systems.

Giuseppe Carleo, Kenny Choo, Damian Hofmann, James E. T. Smith, Tom Westerhout, Fabien Alet, Emily J. Davis, Stavros Efthymiou, Ivan Glasser, Sheng-Hsuan Lin, Marta Mauri, Guglielmo Mazzola, Christian B. Mendl, Evert P. L. van Nieuwenburg, Ossian O'Reilly, Hugo Théveniaut, Giacomo Torlai, Filippo Vicentini, Alexander Wietek

SoftwareX, 2019