Evert van Nieuwenburg
- Name
- Dr. E.P.L. van Nieuwenburg
- ORCID iD
- 0000-0003-0323-0031
Evert is a computational physicist who focuses his attention on various uses of machine learning and artificial intelligence to physics. That ranges from detecting phase transitions all the way to the automated and intelligent control of state of the art (quantum) experiments. He also studies quantum algorithms and variational quantum circuits under the theme of quantum AI and quantum games, and developed Quantum TiqTaqToe.
Evert is a computational physicist who focuses his attention on various uses of machine learning and artificial intelligence to physics. That ranges from detecting phase transitions all the way to the automated and intelligent control of state of the art (quantum) experiments. He also studies quantum algorithms and variational quantum circuits under the theme of quantum AI and quantum games, and developed Quantum TiqTaqToe.
- Agirre A., Nieuwenburg E.P.L. van & Wauter M.M. (2025), A Monte Carlo Tree Search approach to QAOA: finding a needle in the haystack, New Journal of Physics 27(4): 043014.
- Koridon E.F., Frohnert F., Prehn E., Nieuwenburg E.P.L. van, Tura Brugués J. & Polla S. (2025), Learning density functionals from noisy quantum data, Machine Learning: Science and Technology 6(2): 025020.
- Dawid A., Arnold J., Requena B., Gresch A., Plodzien M., Donatella K., Nicoli K.A., Stornati P., Koch R., Büttner M., Okula R., Munoz-Gil G., Vargas-Hernández R.A., Cervera-Lierta A., Carrasquilla J., Dunjko V., Gabrié M., Huembeli P., Nieuwenburg E.P.L. van, Vicentini F., Wang L., Wetzel S.J., Carleo G., Greplova E., Krems R., Marquard F., Tomza M., Lewenstein M. & Daupin A. (2025), Machine learning in quantum sciences. England: Cambridge University Press.
- Raat M.H., Nouweland L. van den, Müller-Brockhausen M.F.T., Preuss M. & Nieuwenburg E.P.L. van (2025), Quantum checkers: the development and analysis of a quantum combinatorial game, 2025 IEEE Conference on Games (CoG). IEEE 2025 Conference on Games 26 August 2025 - 29 August 2025: IEEE. 1-8.
- Koridon E.F., Frohnert F., Prehn. E., Nieuwenburg E.P.L. van., Tura Brugués J. & Polla S. (2025), Learning density functionals from noisy quantum data, Machine Learning 6: 025020.
- Kuijf I.S., Tromp W.O., Benschop T., Ramones N.P., Sulangi M.A., Nieuwenburg E.P.L. van. & Allan M.P. (2025), Self-supervised learning for denoising quasiparticle interference data, Physical Review B: Condensed Matter 111(3): 035136.
- Li J.T., Coopmans T.J., Emonts P., Goodenough K., Tura Brugués J. & Nieuwenburg E.P.L. van (2025), Optimising entanglement distribution policies under classical communication constraints assisted by reinforcement learning, Machine Learning: Science and Technology 6(3): 035024.
- Benestad J., Krzywda J.A., Nieuwenburg E.P.L. van & Danon J. (2024), Efficient adaptive Bayesian estimation of a slowly fluctuating Overhauser field gradient, SciPost Physics 17: 014.
- Benestad J., Tsintzis A., Seoane Souto R., Leijnse M., Nieuwenburg E. van & Danon J. (2024), Machine-learned tuning of artificial Kitaev chains from tunneling spectroscopy measurements, Physical Review B 110: 075402.
- Berritta F., Krzywda J.A., Benestad J., van der Heijden J., FedeleF., FallahiS., Gardner GC., Manfra M.J., Nieuwenburg E.P.L. van., Danon J., Chatterjee A. & Kuemmeth F. (2024), Physics-informed tracking of qubit fluctuations, Physical Review Applied 22: 014033.
- Berritta F., Rasmussen T., Krzywda J.A., van der Heijden J., Fedele F., Nieuwenburg E.P.L. van & et al (2024), Real-time two-axis control of a spin qubit, Nature Communications 15: 1676.
- Meinerz K., Trebst S., Rudner M. & Nieuwenburg E.P.L. van (2024), The quantum cartpole: a benchmark environment for non-linear reinforcement learning, SciPost Physics 7(2): 026.
- Wauters M.M. & Nieuwenburg E.P.L. van (2022), Reusability report: comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules, Nature Machine Intelligence 4(10): 810-813.
- Wauters M.M. & Nieuwenburg E. van (2022), Reusability report: comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules, Nature Machine Intelligence 4(10): 810-813.
- Nieuwenburg E.P.L. van, Edge J.M., Dalhaus J.P., Tworzydlo J. & Beenakker C.W.J. (2012), Metal-topological insulator transition in the quantum kicked rotator with Z2 symmetry, Physical Review B 85(16): 165131.
- Gudat J., Bonato C., Nieuwenburg E. van, Thon S.M., Kim H., Petroff P.M., Exter M.P. van & Bouwmeester D. (2011), Permanent tuning of quantum dot transitions to degenerate microcavity resonances, Applied Physics Letters 98(12): 121111.
- Bonato C., Nieuwenburg E. van, Gudat J., Thon S.M., Kim H.K., Exter M.P. van & Bouwmeester D. (2011), Strain tuning of quantum dot optical transitions via laser-induced surface defects, Physical Review B 84(7): 075306.
- Ontwikkelen educatieve programma's en outreach rond quantum games