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Jens Eisert
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- affiliation: FU Berlin, Department of Physics, Germany
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2020 – today
- 2024
- [j20]Elies Gil-Fuster
, Jens Eisert
On the expressivity of embedding quantum kernels. Mach. Learn. Sci. Technol. 5(2): 25003 (2024) - [d3]Lucas Berent
Dataset containing raw threshold and runtime simulation data for a paper evaluation on decoding quantum color codes. Version 2. Zenodo, 2024 [all versions] - [i46]Asad Raza, Matthias C. Caro, Jens Eisert, Sumeet Khatri:
Online learning of quantum processes. CoRR abs/2406.04250 (2024) - [i45]Timo Hillmann
Localized statistics decoding: A parallel decoding algorithm for quantum low-density parity-check codes. CoRR abs/2406.18655 (2024) - [i44]Paolo Andrea Erdman, Robert Czupryniak, Bibek Bhandari, Andrew N. Jordan, Frank Noé, Jens Eisert, Giacomo Guarnieri:
Artificially intelligent Maxwell's demon for optimal control of open quantum systems. CoRR abs/2408.15328 (2024) - [i43]Matthias C. Caro, Jens Eisert, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke:
Interactive proofs for verifying (quantum) learning and testing. CoRR abs/2410.23969 (2024) - [i42]Ryotaro Suzuki, Hosho Katsura, Yosuke Mitsuhashi, Tomohiro Soejima, Jens Eisert, Nobuyuki Yoshioka:
More global randomness from less random local gates. CoRR abs/2410.24127 (2024) - 2023
- [j19]Ingo Roth, Jadwiga Wilkens, Dominik Hangleiter
Semi-device-dependent blind quantum tomography. Quantum 7: 1053 (2023) - [j18]Jarn de Jong
Anonymous conference key agreement in linear quantum networks. Quantum 7: 1117 (2023) - [j17]Konstantin Tiurev, Peter-Jan H. S. Derks
Correcting non-independent and non-identically distributed errors with surface codes. Quantum 7: 1123 (2023) - [d2]Lucas Berent
Dataset containing raw threshold and runtime simulation data for a paper evaluation on decoding quantum color codes. Version 1. Zenodo, 2023 [all versions] - [d1]Lucas Berent
Dataset containing raw simulation data for a paper on decoding bosonic quantum LDPC codes. Zenodo, 2023 - [i41]Jonathan Conrad, Jens Eisert, Jean-Pierre Seifert:
Good Gottesman-Kitaev-Preskill codes from the NTRU cryptosystem. CoRR abs/2303.02432 (2023) - [i40]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 abs/2303.03428 (2023) - [i39]Alexander Nietner
On the average-case complexity of learning output distributions of quantum circuits. CoRR abs/2305.05765 (2023) - [i38]Elies Gil-Fuster, Jens Eisert, Carlos Bravo-Prieto:
Understanding quantum machine learning also requires rethinking generalization. CoRR abs/2306.13461 (2023) - [i37]Martin Ringbauer, Marcel Hinsche, Thomas Feldker, Paul K. Faehrmann, Juani Bermejo-Vega, Claire Edmunds, Lukas Postler, Roman Stricker, Christian D. Marciniak
Verifiable measurement-based quantum random sampling with trapped ions. CoRR abs/2307.14424 (2023) - [i36]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 abs/2309.11647 (2023) - [i35]Elies Gil-Fuster, Jens Eisert, Vedran Dunjko:
On the expressivity of embedding quantum kernels. CoRR abs/2309.14419 (2023) - [i34]Lucas Berent, Timo Hillmann, Jens Eisert, Robert Wille, Joschka Roffe
Analog information decoding of bosonic quantum LDPC codes. CoRR abs/2311.01328 (2023) - 2022
- [j16]Alexander Jahn
Tensor network models of AdS/qCFT. Quantum 6: 643 (2022) - [j15]Jonathan Conrad
Gottesman-Kitaev-Preskill codes: A lattice perspective. Quantum 6: 648 (2022) - [j14]Paul K. Faehrmann
Randomizing multi-product formulas for Hamiltonian simulation. Quantum 6: 806 (2022) - [c6]Jens Eisert, Mark M. Wilde:
A smallest computable entanglement monotone. ISIT 2022: 2439-2444 - [i33]Jens Eisert, Mark M. Wilde:
A smallest computable entanglement monotone. CoRR abs/2201.00835 (2022) - [i32]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 abs/2205.06217 (2022) - [i31]Jarn de Jong, Frederik Hahn
Anonymous conference key agreement in linear quantum networks. CoRR abs/2205.09169 (2022) - [i30]Dominik Hangleiter
Computational advantage of quantum random sampling. CoRR abs/2206.04079 (2022) - [i29]Franz J. Schreiber, Jens Eisert, Johannes Jakob Meyer:
Classical surrogates for quantum learning models. CoRR abs/2206.11740 (2022) - [i28]Marcel Hinsche, Marios Ioannou, Alexander Nietner
A single T-gate makes distribution learning hard. CoRR abs/2207.03140 (2022) - [i27]Frederik Wilde, Augustine Kshetrimayum, Ingo Roth, Dominik Hangleiter
Scalably learning quantum many-body Hamiltonians from dynamical data. CoRR abs/2209.14328 (2022) - [i26]Junyu Liu, Frederik Wilde, Antonio Anna Mele
Noise can be helpful for variational quantum algorithms. CoRR abs/2210.06723 (2022) - [i25]Niklas Pirnay, Ryan Sweke, Jens Eisert, Jean-Pierre Seifert:
A super-polynomial quantum-classical separation for density modelling. CoRR abs/2210.14936 (2022) - [i24]Niklas Pirnay, Vincent Ulitzsch, Frederik Wilde, Jens Eisert, Jean-Pierre Seifert:
A super-polynomial quantum advantage for combinatorial optimization problems. CoRR abs/2212.08678 (2022) - 2021
- [j13]Ryan Sweke
Reinforcement learning decoders for fault-tolerant quantum computation. Mach. Learn. Sci. Technol. 2(2): 25005 (2021) - [j12]Julio Carlos Magdalena de la Fuente, Nicolas Tarantino, Jens Eisert:
Non-Pauli topological stabilizer codes from twisted quantum doubles. Quantum 5: 398 (2021) - [j11]Ryan Sweke, Jean-Pierre Seifert, Dominik Hangleiter
On the Quantum versus Classical Learnability of Discrete Distributions. Quantum 5: 417 (2021) - [j10]Matthias C. Caro
Encoding-dependent generalization bounds for parametrized quantum circuits. Quantum 5: 582 (2021) - [c5]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: 531-535 - [i23]Jens Eisert, Axel Flinth, Benedikt Groß, Ingo Roth, Gerhard Wunder:
Hierarchical compressed sensing. CoRR abs/2104.02721 (2021) - [i22]Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder:
Hierarchical sparse recovery from hierarchically structured measurements with application to massive random access. CoRR abs/2105.03169 (2021) - [i21]Thomas Hubregtsen, Frederik Wilde, Shozab Qasim, Jens Eisert:
Single-component gradient rules for variational quantum algorithms. CoRR abs/2106.01388 (2021) - [i20]Matthias C. Caro
Encoding-dependent generalization bounds for parametrized quantum circuits. CoRR abs/2106.03880 (2021) - [i19]Marcel Hinsche, Marios Ioannou, Alexander Nietner
Learnability of the output distributions of local quantum circuits. CoRR abs/2110.05517 (2021) - [i18]Axel Flinth, Ingo Roth, Benedikt Groß, Jens Eisert, Gerhard Wunder:
Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction. CoRR abs/2111.03486 (2021) - 2020
- [j9]Paul Boes
By-passing fluctuation theorems. Quantum 4: 231 (2020) - [j8]Ryan Sweke
Stochastic gradient descent for hybrid quantum-classical optimization. Quantum 4: 314 (2020) - [j7]Alexander Nietner
Efficient variational contraction of two-dimensional tensor networks with a non-trivial unit cell. Quantum 4: 328 (2020) - [j6]Ingo Roth
Reliable Recovery of Hierarchically Sparse Signals for Gaussian and Kronecker Product Measurements. IEEE Trans. Signal Process. 68: 4002-4016 (2020) - [i17]Alex Goeßmann, M. Götte, Ingo Roth, Ryan Sweke, Gitta Kutyniok, Jens Eisert:
Tensor network approaches for learning non-linear dynamical laws. CoRR abs/2002.12388 (2020) - [i16]Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder:
Hierarchical sparse recovery from hierarchically structured measurements. CoRR abs/2005.10379 (2020) - [i15]Ingo Roth, Jadwiga Wilkens, Dominik Hangleiter
Semi-device-dependent blind quantum tomography. CoRR abs/2006.03069 (2020) - [i14]Ryan Sweke, Jean-Pierre Seifert, Dominik Hangleiter
On the Quantum versus Classical Learnability of Discrete Distributions. CoRR abs/2007.14451 (2020)
2010 – 2019
- 2019
- [c4]Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac:
Expressive power of tensor-network factorizations for probabilistic modeling. NeurIPS 2019: 1496-1508 - [i13]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 abs/1907.03741 (2019) - [i12]Ryan Sweke, Frederik Wilde
Stochastic gradient descent for hybrid quantum-classical optimization. CoRR abs/1910.01155 (2019) - 2018
- [c3]Ingo Roth, Axel Flinth, Richard Kueng
Hierarchical restricted isometry property for Kronecker product measurements. Allerton 2018: 632-638 - [c2]Gerhard Wunder, Ingo Roth, Rick Fritschek, Benedikt Groß, Jens Eisert
Secure massive IoT using hierarchical fast blind deconvolution. WCNC Workshops 2018: 119-124 - [i11]Gerhard Wunder, Ingo Roth, Rick Fritschek, Benedikt Groß, Jens Eisert:
Secure Massive IoT Using Hierarchical Fast Blind Deconvolution. CoRR abs/1801.09628 (2018) - [i10]Ingo Roth, Axel Flinth, Richard Kueng, Jens Eisert, Gerhard Wunder:
Hierarchical restricted isometry property for Kronecker product measurements. CoRR abs/1801.10433 (2018) - [i9]Ingo Roth, Richard Kueng, Shelby Kimmel, Yi-Kai Liu, David Gross, Jens Eisert, Martin Kliesch:
Recovering quantum gates from few average gate fidelities. CoRR abs/1803.00572 (2018) - [i8]Gerhard Wunder, Ingo Roth, Rick Fritschek, Jens Eisert:
Performance of Hierarchical Sparse Detectors for Massive MTC. CoRR abs/1806.02754 (2018) - [i7]Ryan Sweke, Markus S. Kesselring, Evert P. L. van Nieuwenburg, Jens Eisert:
Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation. CoRR abs/1810.07207 (2018) - 2017
- [j5]Henrik Wilming
Axiomatic Characterization of the Quantum Relative Entropy and Free Energy. Entropy 19(6): 241 (2017) - [c1]Gerhard Wunder, Ingo Roth, Rick Fritschek, Jens Eisert
HiHTP: A custom-tailored hierarchical sparse detector for massive MTC. ACSSC 2017: 1929-1934 - [i6]Martin Kliesch, Richard Kueng, Jens Eisert, David Gross:
Guaranteed recovery of quantum processes from few measurements. CoRR abs/1701.03135 (2017) - 2016
- [j4]Martin Kliesch
Improving Compressed Sensing With the Diamond Norm. IEEE Trans. Inf. Theory 62(12): 7445-7463 (2016) - [i5]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 abs/1609.04167 (2016) - [i4]Ingo Roth, Martin Kliesch, Gerhard Wunder, Jens Eisert:
Reliable recovery of hierarchically sparse signals and application in machine-type communications. CoRR abs/1612.07806 (2016) - 2015
- [i3]Martin Kliesch, Richard Kueng, Jens Eisert, David Gross:
Improving compressed sensing with the diamond norm. CoRR abs/1511.01513 (2015) - 2014
- [j3]Earl T. Campbell, Matty J. Hoban, Jens Eisert:
Majorana fermions and non-locality. Quantum Inf. Comput. 14(11-12): 981-995 (2014) - 2013
- [i2]Christian Gogolin
Boson-Sampling in the light of sample complexity. CoRR abs/1306.3995 (2013)
2000 – 2009
- 2009
- [i1]Toby S. Cubitt, Jens Eisert, Michael M. Wolf:
Deciding whether a Quantum Channel is Markovian is NP-hard. CoRR abs/0908.2128 (2009) - 2008
- [j2]David Gross, Jens Eisert:
Quantum margulis expanders. Quantum Inf. Comput. 8(8): 722-733 (2008) - 2006
- [p1]Jens Eisert, Michael M. Wolf:
Quantum Computing. Handbook of Nature-Inspired and Innovative Computing 2006: 253-286 - 2003
- [j1]Geza Giedke, Jens Eisert, J. Ignacio Cirac, Martin B. Plenio:
Entanglement transformations of pure Gaussian states. Quantum Inf. Comput. 3(3): 211-223 (2003)
Coauthor Index
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