Jens Eisert - RankMe

100 papers A* 1B 1Misc 1Journal 93Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A PAC-Bayesian approach to generalization for quantum models. CoRR Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber, Carlos Bravo-Prieto
2026	J	`jnl`	Chasing shadows with Gottesman-Kitaev-Preskill codes. Quantum Jonathan Conrad, Jens Eisert, Steven T. Flammia
2026	J	`jnl`	Complexity of geometrically local stoquastic Hamiltonians. Quantum Asad Raza, Jens Eisert, Alex B. Grilo
2026	J	`jnl`	The computational two-way quantum capacity. CoRR Johannes Jakob Meyer, Jacopo Rizzo, Asad Raza, Lorenzo Leone, Sofiène Jerbi, Jens Eisert
2025	J	`jnl`	A measurement-driven quantum algorithm for SAT: Performance guarantees via spectral gaps and measurement parallelization. CoRR Franz J. Schreiber, Maximilian J. Kramer, Alexander Nietner, Jens Eisert
2025	J	`jnl`	Artificial intelligence for representing and characterizing quantum systems. CoRR Yuxuan Du, Yan Zhu, Yuan-Hang Zhang, Min-Hsiu Hsieh, Patrick Rebentrost, Weibo Gao, Ya-Dong Wu, Jens Eisert, Giulio Chiribella, Dacheng Tao, Barry C. Sanders
2025	J	`jnl`	Clifford testing: algorithms and lower bounds. CoRR Marcel Hinsche, Zongbo Bao, Philippe van Dordrecht, Jens Eisert, Jop Briët, Jonas Helsen
2025	J	`jnl`	Computational Relative Entropy. CoRR Johannes Jakob Meyer, Asad Raza, Jacopo Rizzo, Lorenzo Leone, Sofiène Jerbi, Jens Eisert
2025	J	`jnl`	Designing fault-tolerant circuits using detector error models. Quantum Peter-Jan H. S. Derks, Alex Townsend-Teague, Ansgar G. Burchards, Jens Eisert
2025	J	`jnl`	How hard is it to verify a classical shadow? CoRR Georgios Karaiskos, Dorian Rudolph, Johannes Jakob Meyer, Jens Eisert, Sevag Gharibian
2025	J	`jnl`	On the average-case complexity of learning output distributions of quantum circuits. Quantum Alexander Nietner, Marios Ioannou, Ryan Sweke, Richard Kueng, Jens Eisert, Marcel Hinsche, Jonas Haferkamp
2025	J	`jnl`	PAC-learning of free-fermionic states is NP-hard. Quantum Lennart Bittel, Antonio Anna Mele, Jens Eisert, Lorenzo Leone
2025	J	`jnl`	Potential and limitations of random Fourier features for dequantizing quantum machine learning. Quantum Ryan Sweke, Erik Recio-Armengol, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer
2025	J	`jnl`	Prospects for quantum advantage in machine learning from the representability of functions. CoRR Sergi Masot-Llima, Elies Gil-Fuster, Carlos Bravo-Prieto, Jens Eisert, Tommaso Guaita
2025	J	`jnl`	Quantum complexity phase transitions in monitored random circuits. Quantum Ryotaro Suzuki, Jonas Haferkamp, Jens Eisert, Philippe Faist
2025	J	`jnl`	Quantum computing and artificial intelligence: status and perspectives. CoRR Giovanni Acampora, Andris Ambainis, Natalia Ares, Leonardo Banchi, Pallavi Bhardwaj, Daniele Binosi, G. Andrew D. Briggs, Tommaso Calarco, Vedran Dunjko, Jens Eisert, Olivier Ezratty, Paul Erker, Federico Fedele, Elies Gil-Fuster, Martin Gärttner, Mats Granath, Markus Heyl, Iordanis Kerenidis, Matthias Klusch, Anton Frisk Kockum, Richard Kueng, Mario Krenn, Jörg Lässig, Antonio Macaluso, Sabrina Maniscalco, Florian Marquardt, Kristel Michielsen, Gorka Muñoz-Gil, Daniel Müssig, Hendrik Poulsen Nautrup, Evert P. L. van Nieuwenburg, Roman Orus, Jörg Schmiedmayer, Markus Schmitt, Philipp Slusallek, Filippo Vicentini, Christof Weitenberg, Frank K. Wilhelm
2025	J	`jnl`	Towards efficient quantum algorithms for diffusion probability models. CoRR Yunfei Wang, Ruoxi Jiang, Yingda Fan, Xiaowei Jia, Jens Eisert, Junyu Liu, Jin-Peng Liu
2025	J	`jnl`	Unifying communication paradigms in delegated quantum computing. CoRR Fabian Wiesner, Jens Eisert, Anna Pappa
2024	J	`jnl`	A quantum inspired approach to learning dynamical laws from data - block-sparsity and gauge-mediated weight sharing. Mach. Learn. Sci. Technol. J. Fuksa, Michael Götte, Ingo Roth, Jens Eisert
2024	J	`jnl`	An unconditional distribution learning advantage with shallow quantum circuits. CoRR Niklas Pirnay, Sofiène Jerbi, Jean-Pierre Seifert, Jens Eisert
2024	J	`jnl`	Artificially intelligent Maxwell's demon for optimal control of open quantum systems. CoRR Paolo Andrea Erdman, Robert Czupryniak, Bibek Bhandari, Andrew N. Jordan, Frank Noé, Jens Eisert, Giacomo Guarnieri
2024	J	`jnl`	Decoding quantum color codes with MaxSAT. Quantum Lucas Berent, Lukas Burgholzer, Peter-Jan H. S. Derks, Jens Eisert, Robert Wille
2024	J	`jnl`	Good Gottesman-Kitaev-Preskill codes from the NTRU cryptosystem. Quantum Jonathan Conrad, Jens Eisert, Jean-Pierre Seifert
2024	J	`jnl`	Interactive proofs for verifying (quantum) learning and testing. CoRR Matthias C. Caro, Jens Eisert, Marcel Hinsche, Marios Ioannou, Alexander Nietner, Ryan Sweke
2024	J	`jnl`	Localized statistics decoding: A parallel decoding algorithm for quantum low-density parity-check codes. CoRR Timo Hillmann, Lucas Berent, Armanda Ottaviano Quintavalle, Jens Eisert, Robert Wille, Joschka Roffe
2024	J	`jnl`	More global randomness from less random local gates. CoRR Ryotaro Suzuki, Hosho Katsura, Yosuke Mitsuhashi, Tomohiro Soejima, Jens Eisert, Nobuyuki Yoshioka
2024	J	`jnl`	On the expressivity of embedding quantum kernels. Mach. Learn. Sci. Technol. Elies Gil-Fuster, Jens Eisert, Vedran Dunjko
2024	J	`jnl`	Online learning of quantum processes. CoRR Asad Raza, Matthias C. Caro, Jens Eisert, Sumeet Khatri
2024	J	`jnl`	Opportunities and limitations of explaining quantum machine learning. CoRR Elies Gil-Fuster, Jonas R. Naujoks, Grégoire Montavon, Thomas Wiegand, Wojciech Samek, Jens Eisert
2023	J	`jnl`	Analog information decoding of bosonic quantum LDPC codes. CoRR Lucas Berent, Timo Hillmann, Jens Eisert, Robert Wille, Joschka Roffe
2023	J	`jnl`	Anonymous conference key agreement in linear quantum networks. Quantum Jarn de Jong, Frederik Hahn, Jens Eisert, Nathan Walk, Anna Pappa
2023	J	`jnl`	Correcting non-independent and non-identically distributed errors with surface codes. Quantum Konstantin Tiurev, Peter-Jan H. S. Derks, Joschka Roffe, Jens Eisert, Jan-Michael Reiner
2023	J	`jnl`	Good Gottesman-Kitaev-Preskill codes from the NTRU cryptosystem. CoRR Jonathan Conrad, Jens Eisert, Jean-Pierre Seifert
2023	J	`jnl`	On the average-case complexity of learning output distributions of quantum circuits. CoRR Alexander Nietner, Marios Ioannou, Ryan Sweke, Richard Kueng, Jens Eisert, Marcel Hinsche, Jonas Haferkamp
2023	J	`jnl`	On the expressivity of embedding quantum kernels. CoRR Elies Gil-Fuster, Jens Eisert, Vedran Dunjko
2023	J	`jnl`	Potential and limitations of random Fourier features for dequantizing quantum machine learning. CoRR Ryan Sweke, Erik Recio, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer
2023	J	`jnl`	Semi-device-dependent blind quantum tomography. Quantum Ingo Roth, Jadwiga Wilkens, Dominik Hangleiter, Jens Eisert
2023	J	`jnl`	Towards provably efficient quantum algorithms for large-scale machine-learning models. CoRR Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yuri Alexeev, Jens Eisert, Liang Jiang
2023	J	`jnl`	Understanding quantum machine learning also requires rethinking generalization. CoRR Elies Gil-Fuster, Jens Eisert, Carlos Bravo-Prieto
2023	J	`jnl`	Verifiable measurement-based quantum random sampling with trapped ions. CoRR 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
2022	J	`jnl`	A single T-gate makes distribution learning hard. CoRR Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke
2022	B	`conf`	A smallest computable entanglement monotone. ISIT Jens Eisert, Mark M. Wilde
2022	J	`jnl`	A smallest computable entanglement monotone. CoRR Jens Eisert, Mark M. Wilde
2022	J	`jnl`	A super-polynomial quantum advantage for combinatorial optimization problems. CoRR Niklas Pirnay, Vincent Ulitzsch, Frederik Wilde, Jens Eisert, Jean-Pierre Seifert
2022	J	`jnl`	A super-polynomial quantum-classical separation for density modelling. CoRR Niklas Pirnay, Ryan Sweke, Jens Eisert, Jean-Pierre Seifert
2022	J	`jnl`	Anonymous conference key agreement in linear quantum networks. CoRR Jarn de Jong, Frederik Hahn, Jens Eisert, Nathan Walk, Anna Pappa
2022	J	`jnl`	Classical surrogates for quantum learning models. CoRR Franz J. Schreiber, Jens Eisert, Johannes Jakob Meyer
2022	J	`jnl`	Computational advantage of quantum random sampling. CoRR Dominik Hangleiter, Jens Eisert
2022	J	`jnl`	Exploiting symmetry in variational quantum machine learning. CoRR Johannes Jakob Meyer, Marian Mularski, Elies Gil-Fuster, Antonio Anna Mele, Francesco Arzani, Alissa Wilms, Jens Eisert
2022	J	`jnl`	Gottesman-Kitaev-Preskill codes: A lattice perspective. Quantum Jonathan Conrad, Jens Eisert, Francesco Arzani
2022	J	`jnl`	Noise can be helpful for variational quantum algorithms. CoRR Junyu Liu, Frederik Wilde, Antonio Anna Mele, Liang Jiang, Jens Eisert
2022	J	`jnl`	Randomizing multi-product formulas for Hamiltonian simulation. Quantum Paul K. Faehrmann, Mark Steudtner, Richard Kueng, Maria Kieferova, Jens Eisert
2022	J	`jnl`	Scalably learning quantum many-body Hamiltonians from dynamical data. CoRR Frederik Wilde, Augustine Kshetrimayum, Ingo Roth, Dominik Hangleiter, Ryan Sweke, Jens Eisert
2022	J	`jnl`	Tensor network models of AdS/qCFT. Quantum Alexander Jahn, Zoltán Zimborás, Jens Eisert
2021	J	`jnl`	Encoding-dependent generalization bounds for parametrized quantum circuits. CoRR Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke
2021	J	`jnl`	Encoding-dependent generalization bounds for parametrized quantum circuits. Quantum Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke
2021	J	`jnl`	Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction. CoRR Axel Flinth, Ingo Roth, Benedikt Groß, Jens Eisert, Gerhard Wunder
2021	—	`conf`	Hierarchical Sparse Recovery from Hierarchically Structured Measurements with Application to Massive Random Access. SSP Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder
2021	J	`jnl`	Hierarchical compressed sensing. CoRR Jens Eisert, Axel Flinth, Benedikt Groß, Ingo Roth, Gerhard Wunder
2021	J	`jnl`	Hierarchical sparse recovery from hierarchically structured measurements with application to massive random access. CoRR Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder
2021	J	`jnl`	Learnability of the output distributions of local quantum circuits. CoRR Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke
2021	J	`jnl`	Non-Pauli topological stabilizer codes from twisted quantum doubles. Quantum Julio Carlos Magdalena de la Fuente, Nicolas Tarantino, Jens Eisert
2021	J	`jnl`	On the Quantum versus Classical Learnability of Discrete Distributions. Quantum Ryan Sweke, Jean-Pierre Seifert, Dominik Hangleiter, Jens Eisert
2021	J	`jnl`	Reinforcement learning decoders for fault-tolerant quantum computation. Mach. Learn. Sci. Technol. Ryan Sweke, Markus S. Kesselring, Evert P. L. van Nieuwenburg, Jens Eisert
2021	J	`jnl`	Single-component gradient rules for variational quantum algorithms. CoRR Thomas Hubregtsen, Frederik Wilde, Shozab Qasim, Jens Eisert
2020	J	`jnl`	By-passing fluctuation theorems. Quantum Paul Boes, Rodrigo Gallego, Nelly Huei Ying Ng, Jens Eisert, Henrik Wilming
2020	J	`jnl`	Efficient variational contraction of two-dimensional tensor networks with a non-trivial unit cell. Quantum Alexander Nietner, Bram Vanhecke, Frank Verstraete, Jens Eisert, Laurens Vanderstraeten
2020	J	`jnl`	Hierarchical sparse recovery from hierarchically structured measurements. CoRR Benedikt Groß, Axel Flinth, Ingo Roth, Jens Eisert, Gerhard Wunder
2020	J	`jnl`	On the Quantum versus Classical Learnability of Discrete Distributions. CoRR Ryan Sweke, Jean-Pierre Seifert, Dominik Hangleiter, Jens Eisert
2020	J	`jnl`	Reliable Recovery of Hierarchically Sparse Signals for Gaussian and Kronecker Product Measurements. IEEE Trans. Signal Process. Ingo Roth, Martin Kliesch, Axel Flinth, Gerhard Wunder, Jens Eisert
2020	J	`jnl`	Semi-device-dependent blind quantum tomography. CoRR Ingo Roth, Jadwiga Wilkens, Dominik Hangleiter, Jens Eisert
2020	J	`jnl`	Stochastic gradient descent for hybrid quantum-classical optimization. Quantum Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert
2020	J	`jnl`	Tensor network approaches for learning non-linear dynamical laws. CoRR Alex Goeßmann, Michael Götte, Ingo Roth, Ryan Sweke, Gitta Kutyniok, Jens Eisert
2019	J	`jnl`	Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning. CoRR Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac
2019	A*	`conf`	Expressive power of tensor-network factorizations for probabilistic modeling. NeurIPS Ivan Glasser, Ryan Sweke, Nicola Pancotti, Jens Eisert, J. Ignacio Cirac
2019	J	`jnl`	Guaranteed recovery of quantum processes from few measurements. Quantum Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
2019	J	`jnl`	Stochastic gradient descent for hybrid quantum-classical optimization. CoRR Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert
2019	J	`jnl`	Subsystem symmetries, quantum cellular automata, and computational phases of quantum matter. Quantum David T. Stephen, Hendrik Poulsen Nautrup, Juani Bermejo-Vega, Jens Eisert, Robert Raussendorf
2018	J	`jnl`	Anticoncentration theorems for schemes showing a quantum speedup. Quantum Dominik Hangleiter, Juan Bermejo-Vega, Martin Schwarz, Jens Eisert
2018	—	`conf`	Hierarchical restricted isometry property for Kronecker product measurements. Allerton Ingo Roth, Axel Flinth, Richard Kueng, Jens Eisert, Gerhard Wunder
2018	J	`jnl`	Hierarchical restricted isometry property for Kronecker product measurements. CoRR Ingo Roth, Axel Flinth, Richard Kueng, Jens Eisert, Gerhard Wunder
2018	J	`jnl`	Performance of Hierarchical Sparse Detectors for Massive MTC. CoRR Gerhard Wunder, Ingo Roth, Rick Fritschek, Jens Eisert
2018	J	`jnl`	Recovering quantum gates from few average gate fidelities. CoRR Ingo Roth, Richard Kueng, Shelby Kimmel, Yi-Kai Liu, David Gross, Jens Eisert, Martin Kliesch
2018	J	`jnl`	Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation. CoRR Ryan Sweke, Markus S. Kesselring, Evert P. L. van Nieuwenburg, Jens Eisert
2018	J	`jnl`	Secure Massive IoT Using Hierarchical Fast Blind Deconvolution. CoRR Gerhard Wunder, Ingo Roth, Rick Fritschek, Benedikt Groß, Jens Eisert
2018	—	`conf`	Secure massive IoT using hierarchical fast blind deconvolution. WCNC Workshops Gerhard Wunder, Ingo Roth, Rick Fritschek, Benedikt Groß, Jens Eisert
2018	J	`jnl`	The boundaries and twist defects of the color code and their applications to topological quantum computation. Quantum Markus S. Kesselring, Fernando Pastawski, Jens Eisert, Benjamin J. Brown
2017	J	`jnl`	Axiomatic Characterization of the Quantum Relative Entropy and Free Energy. Entropy Henrik Wilming, Rodrigo Gallego, Jens Eisert
2017	J	`jnl`	Guaranteed recovery of quantum processes from few measurements. CoRR Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
2017	Misc	`conf`	HiHTP: A custom-tailored hierarchical sparse detector for massive MTC. ACSSC Gerhard Wunder, Ingo Roth, Rick Fritschek, Jens Eisert
2016	J	`jnl`	Improving Compressed Sensing With the Diamond Norm. IEEE Trans. Inf. Theory Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
2016	J	`jnl`	Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR 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
2016	J	`jnl`	Reliable recovery of hierarchically sparse signals and application in machine-type communications. CoRR Ingo Roth, Martin Kliesch, Gerhard Wunder, Jens Eisert
2015	J	`jnl`	Improving compressed sensing with the diamond norm. CoRR Martin Kliesch, Richard Kueng, Jens Eisert, David Gross
2014	J	`jnl`	Majorana fermions and non-locality. Quantum Inf. Comput. Earl T. Campbell, Matty J. Hoban, Jens Eisert
2013	J	`jnl`	Boson-Sampling in the light of sample complexity. CoRR Christian Gogolin, Martin Kliesch, Leandro Aolita, Jens Eisert
2009	J	`jnl`	Deciding whether a Quantum Channel is Markovian is NP-hard CoRR Toby S. Cubitt, Jens Eisert, Michael M. Wolf
2008	J	`jnl`	Quantum margulis expanders. Quantum Inf. Comput. David Gross, Jens Eisert
2006	—	`ch.`	Quantum Computing. Handbook of Nature-Inspired and Innovative Computing Jens Eisert, Michael M. Wolf
2003	J	`jnl`	Entanglement transformations of pure Gaussian states. Quantum Inf. Comput. Geza Giedke, Jens Eisert, J. Ignacio Cirac, Martin B. Plenio