Jens Eisert (J Eisert)

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Molecular Dynamics

Preterm Infants

Energy Transfer

Top Venues

Nature communications

Science advances

Proceedings of the National Academy of Sciences of the United States of America

This page only lists publications with an associated author ORCID identifier.

Publications

Elies Gil-Fuster, Jens Eisert, Carlos Bravo-Prieto
Understanding quantum machine learning also requires rethinking generalization. Nature communications 15 (1) (2024)
Elies Gil-Fuster, Jens Eisert, Carlos Bravo-Prieto
Understanding quantum machine learning also requires rethinking generalization. Nature communications 15 (1) (2024)
Niklas Pirnay, Vincent Ulitzsch, Frederik Wilde, Jens Eisert, Jean-Pierre Seifert
An in-principle super-polynomial quantum advantage for approximating combinatorial optimization problems via computational learning theory. Science advances 10 (11) (2024)
O Onishchenko, Giacomo Guarnieri, P Rosillo-Rodes, D Pijn, J Hilder, U G Poschinger, Martí Perarnau-Llobet, Jens Eisert, F Schmidt-Kaler
Probing coherent quantum thermodynamics using a trapped ion. Nature communications 15 (1) (2024)
O Onishchenko, Giacomo Guarnieri, P Rosillo-Rodes, D Pijn, J Hilder, U G Poschinger, Martí Perarnau-Llobet, Jens Eisert, F Schmidt-Kaler
Probing coherent quantum thermodynamics using a trapped ion. Nature communications 15 (1) (2024)
Elies Gil-Fuster, Jens Eisert, Carlos Bravo-Prieto
Understanding quantum machine learning also requires rethinking generalization. Nature communications 15 (1) (2024)
Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yunfei Wang, Yuri Alexeev, Jens Eisert, Liang Jiang
Towards provably efficient quantum algorithms for large-scale machine-learning models. Nature communications 15 (1) (2024)
Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yunfei Wang, Yuri Alexeev, Jens Eisert, Liang Jiang
Towards provably efficient quantum algorithms for large-scale machine-learning models. Nature communications 15 (1) (2024)
O Onishchenko, Giacomo Guarnieri, P Rosillo-Rodes, D Pijn, J Hilder, U G Poschinger, Martí Perarnau-Llobet, Jens Eisert, F Schmidt-Kaler
Probing coherent quantum thermodynamics using a trapped ion. Nature communications 15 (1) (2024)
Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yunfei Wang, Yuri Alexeev, Jens Eisert, Liang Jiang
Towards provably efficient quantum algorithms for large-scale machine-learning models. Nature communications 15 (1) (2024)
F H B Somhorst, R van der Meer, M Correa Anguita, R Schadow, H J Snijders, M de Goede, B Kassenberg, P Venderbosch, C Taballione, J P Epping, H H van den Vlekkert, J Timmerhuis, Jacob F F Bulmer, J Lugani, I A Walmsley, P W H Pinkse, Jens Eisert, N Walk, J J Renema
Quantum simulation of thermodynamics in an integrated quantum photonic processor. Nature communications 14 (1) (2023)
Jonas Helsen, M Ioannou, J Kitzinger, Emilio Onorati, A H Werner, Jens Eisert, Ingo Roth
Shadow estimation of gate-set properties from random sequences. Nature communications 14 (1) (2023)
Mohammadamin Tajik, Marek Gluza, Nicolas Sebe, Philipp Schüttelkopf, Federica Cataldini, João Sabino, Frederik Møller, Si-Cong Ji, Sebastian Erne, Giacomo Guarnieri, Spyros Sotiriadis, Jens Eisert, Jörg Schmiedmayer
Experimental observation of curved light-cones in a quantum field simulator. Proceedings of the National Academy of Sciences of the United States of America 120 (21) (2023)
F H B Somhorst, R van der Meer, M Correa Anguita, R Schadow, H J Snijders, M de Goede, B Kassenberg, P Venderbosch, C Taballione, J P Epping, H H van den Vlekkert, J Timmerhuis, Jacob F F Bulmer, J Lugani, I A Walmsley, P W H Pinkse, Jens Eisert, N Walk, J J Renema
Quantum simulation of thermodynamics in an integrated quantum photonic processor. Nature communications 14 (1) (2023)
Abhinav Deshpande, Arthur Mehta, Trevor Vincent, Nicolás Quesada, Marcel Hinsche, Marios Ioannou, Lars Madsen, Jonathan Lavoie, Haoyu Qi, Jens Eisert, Dominik Hangleiter, Bill Fefferman, Ish Dhand
Quantum computational advantage via high-dimensional Gaussian boson sampling. Science advances 8 (1) (2022)
Dominik Hangleiter, Ingo Roth, Daniel Nagaj, Jens Eisert
Easing the Monte Carlo sign problem. Science advances 6 (33) (2020)
Maria Laura Baez, Marcel Goihl, Jonas Haferkamp, Juani Bermejo-Vega, Marek Gluza, Jens Eisert
Dynamical structure factors of dynamical quantum simulators. Proceedings of the National Academy of Sciences of the United States of America 117 (42) (2020)
Alexander Jahn, M Gluza, Fernando Pastawski, Jens Eisert
Holography and criticality in matchgate tensor networks. Science advances 5 (8) (2019)