Jens Eisert

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 63

Top Topics

Blind Deconvolution

Hierarchically Structured

Quantum Computation

Probabilistic Modeling

Top Venues

Mach. Learn. Sci. Technol.

IEEE Trans. Inf. Theory

Publications

Asad Raza, Matthias C. Caro, Jens Eisert, Sumeet Khatri
Online learning of quantum processes. CoRR (2024)
Timo Hillmann, Lucas Berent, Armanda O. Quintavalle, Jens Eisert, Robert Wille, Joschka Roffe
Localized statistics decoding: A parallel decoding algorithm for quantum low-density parity-check codes. CoRR (2024)
Elies Gil-Fuster, Jens Eisert, Vedran Dunjko
On the expressivity of embedding quantum kernels. Mach. Learn. Sci. Technol. 5 (2) (2024)
Ryan Sweke, Erik Recio, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer
Potential and limitations of random Fourier features for dequantizing quantum machine learning. CoRR (2023)
Martin Ringbauer, Marcel Hinsche, Thomas Feldker, Paul K. Faehrmann, Juani Bermejo-Vega, Claire Edmunds, Lukas Postler, Roman Stricker, Christian D. Marciniak, Michael Meth, Ivan Pogorelov, Rainer Blatt, Philipp Schindler, Jens Eisert, Thomas Monz, Dominik Hangleiter
Verifiable measurement-based quantum random sampling with trapped ions. CoRR (2023)
Konstantin Tiurev, Peter-Jan H. S. Derks, Joschka Roffe, Jens Eisert, Jan-Michael Reiner
Correcting non-independent and non-identically distributed errors with surface codes. Quantum 7 (2023)
Jonathan Conrad, Jens Eisert, Jean-Pierre Seifert
Good Gottesman-Kitaev-Preskill codes from the NTRU cryptosystem. CoRR (2023)
Ingo Roth, Jadwiga Wilkens, Dominik Hangleiter, Jens Eisert
Semi-device-dependent blind quantum tomography. Quantum 7 (2023)
Lucas Berent, Timo Hillmann, Jens Eisert, Robert Wille, Joschka Roffe
Analog information decoding of bosonic quantum LDPC codes. CoRR (2023)
Jarn de Jong, Frederik Hahn, Jens Eisert, Nathan Walk, Anna Pappa
Anonymous conference key agreement in linear quantum networks. Quantum 7 (2023)
Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yuri Alexeev, Jens Eisert, Liang Jiang
Towards provably efficient quantum algorithms for large-scale machine-learning models. CoRR (2023)
Elies Gil-Fuster, Jens Eisert, Carlos Bravo-Prieto
Understanding quantum machine learning also requires rethinking generalization. CoRR (2023)
Alexander Nietner, Marios Ioannou, Ryan Sweke, Richard Kueng, Jens Eisert, Marcel Hinsche, Jonas Haferkamp
On the average-case complexity of learning output distributions of quantum circuits. CoRR (2023)
Elies Gil-Fuster, Jens Eisert, Vedran Dunjko
On the expressivity of embedding quantum kernels. CoRR (2023)
Frederik Wilde, Augustine Kshetrimayum, Ingo Roth, Dominik Hangleiter, Ryan Sweke, Jens Eisert
Scalably learning quantum many-body Hamiltonians from dynamical data. CoRR (2022)
Dominik Hangleiter, Jens Eisert
Computational advantage of quantum random sampling. CoRR (2022)
Franz J. Schreiber, Jens Eisert, Johannes Jakob Meyer
Classical surrogates for quantum learning models. CoRR (2022)
Jonathan Conrad, Jens Eisert, Francesco Arzani
Gottesman-Kitaev-Preskill codes: A lattice perspective. Quantum 6 (2022)
Jens Eisert, Mark M. Wilde
A smallest computable entanglement monotone. ISIT (2022)
Junyu Liu, Frederik Wilde, Antonio Anna Mele, Liang Jiang, Jens Eisert
Noise can be helpful for variational quantum algorithms. CoRR (2022)
Niklas Pirnay, Vincent Ulitzsch, Frederik Wilde, Jens Eisert, Jean-Pierre Seifert
A super-polynomial quantum advantage for combinatorial optimization problems. CoRR (2022)
Paul K. Faehrmann, Mark Steudtner, Richard Kueng, Maria Kieferova, Jens Eisert
Randomizing multi-product formulas for Hamiltonian simulation. Quantum 6 (2022)
Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke
A single T-gate makes distribution learning hard. CoRR (2022)
Niklas Pirnay, Ryan Sweke, Jens Eisert, Jean-Pierre Seifert
A super-polynomial quantum-classical separation for density modelling. CoRR (2022)
Jens Eisert, Mark M. Wilde
A smallest computable entanglement monotone. CoRR (2022)
Alexander Jahn, Zoltán Zimborás, Jens Eisert
Tensor network models of AdS/qCFT. Quantum 6 (2022)
Johannes Jakob Meyer, Marian Mularski, Elies Gil-Fuster, Antonio Anna Mele, Francesco Arzani, Alissa Wilms, Jens Eisert
Exploiting symmetry in variational quantum machine learning. CoRR (2022)
Jarn de Jong, Frederik Hahn, Jens Eisert, Nathan Walk, Anna Pappa
Anonymous conference key agreement in linear quantum networks. CoRR (2022)
Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke
Encoding-dependent generalization bounds for parametrized quantum circuits. CoRR (2021)
Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder
Hierarchical sparse recovery from hierarchically structured measurements with application to massive random access. CoRR (2021)
Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke
Encoding-dependent generalization bounds for parametrized quantum circuits. Quantum 5 (2021)
Jens Eisert, Axel Flinth, Benedikt Groß, Ingo Roth, Gerhard Wunder
Hierarchical compressed sensing. CoRR (2021)
Ryan Sweke, Jean-Pierre Seifert, Dominik Hangleiter, Jens Eisert
On the Quantum versus Classical Learnability of Discrete Distributions. Quantum 5 (2021)
Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder
Hierarchical Sparse Recovery from Hierarchically Structured Measurements with Application to Massive Random Access. SSP (2021)
Axel Flinth, Ingo Roth, Benedikt Groß, Jens Eisert, Gerhard Wunder
Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction. CoRR (2021)
Julio Carlos Magdalena de la Fuente, Nicolas Tarantino, Jens Eisert
Non-Pauli topological stabilizer codes from twisted quantum doubles. Quantum 5 (2021)
Thomas Hubregtsen, Frederik Wilde, Shozab Qasim, Jens Eisert
Single-component gradient rules for variational quantum algorithms. CoRR (2021)
Ryan Sweke, Markus S. Kesselring, Evert P. L. van Nieuwenburg, Jens Eisert
Reinforcement learning decoders for fault-tolerant quantum computation. Mach. Learn. Sci. Technol. 2 (2) (2021)
Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke
Learnability of the output distributions of local quantum circuits. CoRR (2021)
Ryan Sweke, Jean-Pierre Seifert, Dominik Hangleiter, Jens Eisert
On the Quantum versus Classical Learnability of Discrete Distributions. CoRR (2020)
Paul Boes, Rodrigo Gallego, Nelly Huei Ying Ng, Jens Eisert, Henrik Wilming
By-passing fluctuation theorems. Quantum 4 (2020)
Ingo Roth, Martin Kliesch, Axel Flinth, Gerhard Wunder, Jens Eisert
Reliable Recovery of Hierarchically Sparse Signals for Gaussian and Kronecker Product Measurements. IEEE Trans. Signal Process. 68 (2020)
Alexander Nietner, B. Vanhecke, Frank Verstraete, Jens Eisert, Laurens Vanderstraeten
Efficient variational contraction of two-dimensional tensor networks with a non-trivial unit cell. Quantum 4 (2020)
Alex Goeßmann, M. Götte, Ingo Roth, Ryan Sweke, Gitta Kutyniok, Jens Eisert
Tensor network approaches for learning non-linear dynamical laws. CoRR (2020)
Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert
Stochastic gradient descent for hybrid quantum-classical optimization. Quantum 4 (2020)
Ingo Roth, Jadwiga Wilkens, Dominik Hangleiter, Jens Eisert
Semi-device-dependent blind quantum tomography. CoRR (2020)
Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder
Hierarchical sparse recovery from hierarchically structured measurements. CoRR (2020)
Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning. CoRR (2019)
Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac
Expressive power of tensor-network factorizations for probabilistic modeling. NeurIPS (2019)
Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert
Stochastic gradient descent for hybrid quantum-classical optimization. CoRR (2019)
Ingo Roth, Axel Flinth, Richard Kueng, Jens Eisert, Gerhard Wunder
Hierarchical restricted isometry property for Kronecker product measurements. Allerton (2018)
Gerhard Wunder, Ingo Roth, Rick Fritschek, Benedikt Groß, Jens Eisert
Secure massive IoT using hierarchical fast blind deconvolution. WCNC Workshops (2018)
Ingo Roth, Richard Kueng, Shelby Kimmel, Yi-Kai Liu, David Gross, Jens Eisert, Martin Kliesch
Recovering quantum gates from few average gate fidelities. CoRR (2018)
Gerhard Wunder, Ingo Roth, Rick Fritschek, Benedikt Groß, Jens Eisert
Secure Massive IoT Using Hierarchical Fast Blind Deconvolution. CoRR (2018)
Ingo Roth, Axel Flinth, Richard Kueng, Jens Eisert, Gerhard Wunder
Hierarchical restricted isometry property for Kronecker product measurements. CoRR (2018)
Gerhard Wunder, Ingo Roth, Rick Fritschek, Jens Eisert
Performance of Hierarchical Sparse Detectors for Massive MTC. CoRR (2018)
Ryan Sweke, Markus S. Kesselring, Evert P. L. van Nieuwenburg, Jens Eisert
Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation. CoRR (2018)
Henrik Wilming, Rodrigo Gallego, Jens Eisert
Axiomatic Characterization of the Quantum Relative Entropy and Free Energy. Entropy 19 (6) (2017)
Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
Guaranteed recovery of quantum processes from few measurements. CoRR (2017)
Gerhard Wunder, Ingo Roth, Rick Fritschek, Jens Eisert
HiHTP: A custom-tailored hierarchical sparse detector for massive MTC. ACSSC (2017)
Ingo Roth, Martin Kliesch, Gerhard Wunder, Jens Eisert
Reliable recovery of hierarchically sparse signals and application in machine-type communications. CoRR (2016)
Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
Improving Compressed Sensing With the Diamond Norm. IEEE Trans. Inf. Theory 62 (12) (2016)
Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR (2016)
Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
Improving compressed sensing with the diamond norm. CoRR (2015)
Earl T. Campbell, Matty J. Hoban, Jens Eisert
Majorana fermions and non-locality. Quantum Inf. Comput. 14 (11-12) (2014)
Christian Gogolin, Martin Kliesch, Leandro Aolita, Jens Eisert
Boson-Sampling in the light of sample complexity. CoRR (2013)
Toby S. Cubitt, Jens Eisert, Michael M. Wolf
Deciding whether a Quantum Channel is Markovian is NP-hard CoRR (2009)
David Gross, Jens Eisert
Quantum margulis expanders. Quantum Inf. Comput. 8 (8) (2008)
Geza Giedke, Jens Eisert, J. Ignacio Cirac, Martin B. Plenio
Entanglement transformations of pure Gaussian states. Quantum Inf. Comput. 3 (3) (2003)