Dominik Hangleiter

dominik-hangleiter's picture
Hartree Postdoctoral Fellow (2021-2024)
dhang@umd.edu
3253 Atlantic Building
Website

Dominik is a quantum scientist working at the interface between computer science, mathematics and physics, as well as the philosophy of quantum science. In his research, he explores the potential of analog and digital quantum computing devices from the theoretical perspective of computational complexity and classical simulation algorithms, and tries to understand the physical mechanisms underlying their speedups. In collaboration with experimental groups, he develops and applies resource-efficient characterization tools to help improve those devices. He also enjoys thinking about methodological aspects of science in general, and quantum science in particular from a philosophy of science point of view. Dominik studied physics, philosophy, and mathematics in Konstanz, Oxford and Munich, and received his Ph.D. from Freie Universität Berlin. Dominik was a QuICS Hartree Postdoctoral Fellow from 2021 to 2024.  After QuICS, he continued on as a Quantum Postdoctoral Researcher at the Simons Institute.  

Publications

2024

A. Ehrenberg, Iosue, J. T., Deshpande, A., Hangleiter, D., and Gorshkov, A. V., “The Second Moment of Hafnians in Gaussian Boson Sampling”, 2024.
Z. Liu, Devulapalli, D., Hangleiter, D., Liu, Y. - K., Kollár, A. J., Gorshkov, A. V., and Childs, A. M., “Efficiently verifiable quantum advantage on near-term analog quantum simulators”, 2024.
J. Nelson, Rajakumar, J., Hangleiter, D., and Gullans, M. J., “Polynomial-Time Classical Simulation of Noisy Circuits with Naturally Fault-Tolerant Gates”, 2024.
A. Barg, Coble, N. J., Hangleiter, D., and Kang, C., “Geometric structure and transversal logic of quantum Reed-Muller codes”, 2024.

2023

M. Ringbauer, Hinsche, M., Feldker, T., Faehrmann, P. K., Bermejo-Vega, J., Edmunds, C., Postler, L., Stricker, R., Marciniak, C. D., Meth, M., Pogorelov, I., Blatt, R., Schindler, P., Eisert, J., Monz, T., and Hangleiter, D., “Verifiable measurement-based quantum random sampling with trapped ions”, 2023.
B. Ware, Deshpande, A., Hangleiter, D., Niroula, P., Fefferman, B., Gorshkov, A. V., and Gullans, M., “A sharp phase transition in linear cross-entropy benchmarking”, 2023.
J. T. Iosue, Ehrenberg, A., Hangleiter, D., Deshpande, A., and Gorshkov, A. V., “Page curves and typical entanglement in linear optics”, Quantum, vol. 7, p. 1017, 2023.
D. Bluvstein, Evered, S. J., Geim, A. A., Li, S. H., Zhou, H., Manovitz, T., Ebadi, S., Cain, M., Kalinowski, M., Hangleiter, D., J. Ataides, P. Bonilla, Maskara, N., Cong, I., Gao, X., Rodriguez, P. Sales, Karolyshyn, T., Semeghini, G., Gullans, M., Greiner, M., Vuletic, V., and Lukin, M. D., “Logical quantum processor based on reconfigurable atom arrays”, Nature, 2023.
D. Gross and Hangleiter, D., “Secret extraction attacks against obfuscated IQP circuits”, 2023.
A. Ehrenberg, Iosue, J. T., Deshpande, A., Hangleiter, D., and Gorshkov, A. V., “Transition of Anticoncentration in Gaussian Boson Sampling”, 2023.

2022

F. Wilde, Kshetrimayum, A., Roth, I., Hangleiter, D., Sweke, R., and Eisert, J., “Scalably learning quantum many-body Hamiltonians from dynamical data”, 2022.
M. Hinsche, Ioannou, M., Nietner, A., Haferkamp, J., Quek, Y., Hangleiter, D., Seifert, J. - P., Eisert, J., and Sweke, R., “A single T-gate makes distribution learning hard”, 2022.
D. Hangleiter and Eisert, J., “Computational advantage of quantum random sampling”, 2022.
E. - J. Kuo, Xu, Y., Hangleiter, D., Grankin, A., and Hafezi, M., “Boson Sampling for Generalized Bosons”, 2022.
S. Ghosh, Deshpande, A., Hangleiter, D., Gorshkov, A. V., and Fefferman, B., “Sharp complexity phase transitions generated by entanglement”, 2022.
A. Deshpande, Mehta, A., Vincent, T., Quesada, N., Hinsche, M., Ioannou, M., Madsen, L., Lavoie, J., Qi, H., Eisert, J., Hangleiter, D., Fefferman, B., and Dhand, I., “Quantum computational advantage via high-dimensional Gaussian boson sampling”, Science Advances, vol. 8, p. eabi7894, 2022.
D. Hangleiter, Carolan, J., and Thébault, K. P. Y., Analogue Quantum Simulation: A New Instrument for Scientific Understanding. Springer Nature, 2022, pp. 83-102.

2021

D. Hangleiter, Roth, I., Eisert, J., and Roushan, P., “Precise Hamiltonian identification of a superconducting quantum processor”, 2021.
A. Deshpande, Mehta, A., Vincent, T., Quesada, N., Hinsche, M., Ioannou, M., Madsen, L., Lavoie, J., Qi, H., Eisert, J., Hangleiter, D., Fefferman, B., and Dhand, I., “Quantum Computational Supremacy via High-Dimensional Gaussian Boson Sampling”, 2021.
P. W. Evans, Hangleiter, D., and Thébault, K. P. Y., “How to engineer a quantum wavefunction”, 2021.