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2023 and preprints


  • Computational advantage of quantum random sampling
    D. Hangleiter, J. Eisert,
    Invited review for Reviews of Modern Physics, arXiv:2206.04079

  • Exploiting symmetry in variational quantum machine learning
    J. J. Meyer, M. Mularski, E. Gil-Fuster, A. A. Mele, F. Arzani, A. Wilms, J. Eisert
    PRX Quantum, in press (2023)

  • Quantum photo-thermodynamics on a programmable photonic quantum processor
    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. F. F. Bulmer, J. Lugani, I. A. Walmsley, P. W. H. Pinkse, J. Eisert, N. Walk, J. J. Renema
    Nature Communications, in press (2023)

  • Tensor network study of the spin-1/2 Heisenberg anti-ferromagnet on the Shuriken lattice
    P. Schmoll, A. Kshetrimayum, J. Naumann, J. Eisert, Y. Iqbal
    Physical Review B, in press (2023)

  • Quantencomputer heute und in naher Zukunft: eine realistische Perspektive

    P. K. Fährmann, J. J. Meyer, J. Eisert
    In: Wilms, A., Neukart, F. (eds) Chancen und Risiken von Quantentechnologien. Springer Gabler, Wiesbaden (2023).


  • A super-polynomial quantum advantage for combinatorial optimization problems
    N. Pirnay, V. Ulitzsch, F. Wilde, J. Eisert, J.-P. Seifert
    arXiv:2212.08678

  • Noise can be helpful for variational quantum algorithms
    J. Liu, F. Wilde, A. Anna Mele, L. Jiang, J. Eisert
    arXiv:2210.06723

  • Anyon condensation and the color code
    M. S. Kesselring, J. C. Magdalena de la Fuente, F. Thomsen, J. Eisert, S. D. Bartlett, B. J. Brown
    arXiv:2212.00042

  • A note on lower bounds to variational problems with guarantees
    J. Eisert
    arXiv:2301.06142

  • ReQuSim: Faithfully simulating near-term quantum repeaters
    J. Wallnöfer, F. Hahn, F. Wiesner, N. Walk, J. Eisert
    arXiv:2212.03896

  • A perturbative gadget for delaying the onset of barren plateaus in variational quantum algorithms
    S. Cichy, P. K. Faehrmann, S. Khatri, J. Eisert
    arXiv:2210.03099

  • Shallow shadows: Expectation estimation using low-depth random Clifford circuits
    C. Bertoni, J. Haferkamp, M. Hinsche, M. Ioannou, J. Eisert, H. Pashayan
    arXiv:2209.12924

  • Scalably learning quantum many-body Hamiltonians from dynamical data
    F. Wilde, A. Kshetrimayum, I. Roth, D. Hangleiter, R. Sweke, J. Eisert
    arXiv:2209.14328
  • Correcting non-independent and non-identically distributed errors with surface codes
    K. Tiurev, J.-P. Derks, J. Roffe, J. Eisert, J.-M. Reiner
    arXiv:2208.02191

  • Experimental observation of curved light-cones in a quantum field simulator
    M. Tajik, M. Gluza, N. Sebe, P. Schüttelkopf, F. Cataldini, J. Sabino, F. Møller, S.-C. Ji, S. Erne, G. Guarnieri, S. Sotiriadis, J. Eisert, J. Schmiedmayer
    arXiv:2209.09132

  • Time-energy uncertainty relation for noisy quantum metrology
    P. Faist, M. P. Woods, V. V. Albert, J. M. Renes, J. Eisert, J. Preskill
    arXiv:2207.13707

  • A route towards engineering many-body localization in real materials
    A. Nietner, A. Kshetrimayum, J. Eisert, B. Lake
    arXiv:2207.10696

  • A single T-gate makes distribution learning hard
    M. Hinsche, M. Ioannou, A. Nietner, J. Haferkamp, Y. Quek, D. Hangleiter, J.-P. Seifert, J. Eisert, R. Sweke
    https://arxiv.org/abs/2207.03140

  • Hyperaccurate thermoelectric currents
    M. Timpanaro, G. Guarnieri, G. T. Landi
    arXiv:2108.05325

  • Guaranteed blind deconvolution and demixing via hierarchically sparse reconstruction
    A. Flinth, I. Roth, B. Groß, J. Eisert, G. Wunder
    arXiv:2111.03486

  • Estimating gate-set properties from random sequences
    J. Helsen, M. Ioannou, I. Roth, J. Kitzinger, E. Onorati, A. H. Werner, J. Eisert
    arXiv:2110.13178

  • Learnability of the output distributions of local quantum circuits
    M. Hinsche, M. Ioannou, A. Nietner, J. Haferkamp, Y. Quek, D. Hangleiter, J.-P. Seifert, J. Eisert, R. Sweke
    arXiv:2110.05517

  • Precise Hamiltonian identification of a superconducting quantum processor
    D. Hangleiter, I. Roth, J. Eisert, P. Roushan
    arXiv:2108.08319

  • Randomizing multi-product formulas for improved Hamiltonian simulation
    P. K. Faehrmann, M. Steudtner, R. Kueng, M. Kieferova, J. Eisert
    Quantum 6, 806 (2022)

  • Semi-device-dependent blind quantum tomography
    I. Roth, J. Wilkens, D. Hangleiter, J. Eisert
    arXiv:2006.03069

  • Topical white paper: A case for quantum memories in space
    M. Gündoğan, T. Jennewein, F. K. Asadi, E. Da Ros, E. Sağlamyürek, D. Oblak, T. Vogl, D. Rieländer, J. Sidhu, S. Grandi, L. Mazzarella, J. Wallnöfer, P. Ledingham, L. LeBlanc, M. Mazzera, M. Mohageg, J. Wolters, A. Ling, M. Atatüre, H. de Riedmatten, D. Oi, C. Simon, M. Krutzik
    arXiv:2111.09595

  • Towards overcoming the entanglement barrier when simulating long-time evolution
    C. Krumnow, J. Eisert, Ö. Legeza
    arXiv:1904.11999

  • Hierarchical sparse recovery from hierarchically structured measurements
    B. Groß, A. Flinth, I. Roth, J. Eisert, G. Wunder
    arXiv:2005.10379

  • Non-equilibrium steady state of the Lieb-Liniger model: Multiple-integral representation of the time evolved many-body wave-function
    S. Sotiriadis
    arXiv:2010.03553

  • Hierarchical compressed sensing
    J. Eisert, A. Flinth, B. Groß, I. Roth, G. Wunder
    arXiv:2104.02721

  • Training quantum embedding kernels on near-term quantum computers
    T. Hubregtsen, D. Wierichs, E. Gil-Fuster, P.-J. H. S. Derks, P. K. Faehrmann, J. J. Meyer
    arXiv:2105.02276

  • Minimizing couplings in renormalization by preserving short-range mutual information
    C. Bertoli, J. M. Renes
    arXiv:2107.00990

  • Periodically refreshed quantum thermal machines
    A. Purkayasatha, G. Guarnieri, S. Campbell, J. Prior, J. Goold
    arXiv:2202.05264
  • Pinwheel valence-bond-crystal ground state of the spin-12 Heisenberg antiferromagnet on the shuriken lattice
    N. Astrakhantsev, F. Ferrari, N. Niggemann, T. Müller, A. Chauhan, A. Kshetrimayum, P. Ghosh, N. Regnault, R. Thomale, J. Reuther, T. Neupert, Y. Iqbal
    arXiv:2110.08198 (2021)

  • Compressive gate set tomography
    R. Brieger, I. Roth, M. Kliesch
    arXiv:2112.05176

  • Anonymous conference key agreement in linear quantum networks
    J. de Jong, F. Hahn, J. Eisert, N. Walk, A. Pappa
    arXiv:2205.09169

  • Avoiding barren plateaus via transferability of smooth solutions in Hamiltonian variational ansatz
    A. A. Mele, G. Bigan Mbeng, G. E. Santoro, M. Collura, P. Torta
    arXiv:2206.01982

  • Multivariate trace estimation in constant quantum depth
    Y. Quek, M. M. Wilde, E. Kaur
    arXiv:2206.15405

  • Block sparsity and gauge mediated weight sharing for learning dynamical laws from data
    M. Götte, J. Fuksa, I. Roth, J. Eisert
    arXiv:2208.01591

  • Probing coherent quantum thermodynamics using a trapped ion
    O. Onishchenko, G. Guarnieri, P. Rosillo-Rodes, D. Pijn, J. Hilder, U. G. Poschinger, M. Perarnau-Llobet, J. Eisert, F. Schmidt-Kaler
    arXiv:2207.14325

  • Time-energy uncertainty relation for noisy quantum metrology
    P. Faist, M. P. Woods, V. V. Albert, J. M. Renes, J. Eisert, J. Preskill
    arXiv:2207.13707

  • A route towards engineering many-body localization in real materials
    A. Nietner, A. Kshetrimayum, J. Eisert, B. Lake
    arXiv:2207.10696

  • A single T-gate makes distribution learning hard
    M. Hinsche, M. Ioannou, A. Nietner, J. Haferkamp, Y. Quek, D. Hangleiter, J.-P. Seifert, J. Eisert, R. Sweke
    arXiv:2207.03140

  • Classical surrogates for quantum learning models
    F. J. Schreiber, J. Eisert, J. J. Meyer
    arXiv:2206.11740
  • Equivalence in delegated quantum computing
    F. Wiesner, J. Eisert, A. Pappa
    arXiv:2206.07469

  • The thermodynamic uncertainty theorem
    K. J. Ray, A. B. Boyd, G. Guarnieri, J. P. Crutchfield
    arXiv:2210.00914

  • Sample-optimal classical shadows for pure states
    Grier, Pashayan, Schaeffer
    arXiv:2211.11810

  • Finite temperature tensor network algorithm for frustrated two-dimensional quantum materials
    S. Schmoll, C. Balz, B. Lake, J. Eisert, A. Kshetrimayum
    arXiv:2211.00121

  • Particle current statistics in driven mesoscale conductors
    M. Brenes, G. Guarnieri, A. Purkayastha, J. Eisert, D. Segal, G. Landi
    arXiv:2211.13832

  • Efficient classical algorithms for simulating symmetric quantum system
    E. R. Anschuetz, A. Bauer, B. T. Kiani, S. Lloyd
    arXiv:2211.16998

  • Disentangling modular Walker-Wang models via fermionic invertible boundaries
    A. Bauer
    arXiv:2208.03397

  • Tensor types and their use in physics
    A. Bauer, A. Nietner
    arXiv:2208.01135 

  • Learning quantum processes and Hamiltonians via the Pauli transfer matrix
    M. Caro
    arXiv:2212.04471 

  • Multivariate trace estimation in constant quantum depth
    Y. Quek, M. M. Wilde, E. Kaur
    arXiv:2206.15405

  • Learning quantum processes without input control
    M. Fanizza, Y. Quek, M. Rosati
    arXiv:2211.05005

  • Tensor network assisted variational quantum algorithm
    J. Huang, W. He, Y. Zhang, Y. Wu, B. Wu, X. Yuan
    arXiv:2212.10421

  • From Kraus operators to the Stinespring form of quantum maps: An alternative construction for infinite dimensions
    F. vom Ende
    arXiv:2301.05488