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2022 and preprints


  • Quantum computational supremacy via high-dimensional Gaussian boson sampling
    A. Deshpande, A. Mehta, T. Vincent, N. Quesada, M. Hinsche, M. Ioannou, L. Madsen, J. Lavoie, H. Qi, J. Eisert, D. Hangleiter, B. Fefferman, I. Dhand
    Science Advances 8, eabi7894 (2022)

  • Linear growth of quantum circuit complexity
    J. Haferkamp, P. Faist, N. B. T. Kothakonda, J. Eisert, N. Yunger Halpern
    Nature Physics 18, 528–532 (2022)

  • Generalization in quantum machine learning from few training data
    M. Caro, H.-Y Huang, M. Cerezo, K Sharma, A. sornberger, L. Cincio, P. J. Coles
    Nature Communications 13, 4919 (2022)

  • 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
    arXiv:2205.06217

  • The variance of relative surprisal as single-shot quantifier
    P. Boes, N. Ng, H. Wilming
    PRX Quantum 3, 010325 (2022)

  • Computational power of one- and two-dimensional dual-unitary quantum circuits
    R. Suzuki, K. Mitarai, K. Fujii
    Quantum 6, 631 (2022)

  • Gottesman-Kitaev-Preskill codes: A lattice perspective
    J. Conrad, J. Eisert, F. Arzani
    Quantum 6, 648 (2022)

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

  • 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
  • Relativistic Bohmian trajectories of photons via weak measurements
    J. Foo, E. Asmodelle, A. P. Lund, T. C. Ralph
    Nature Communications 13, 4002 (2022)

  • 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

  • Tensor network models of AdS/qCFT
    A. Jahn, Z. Zimboras, J. Eisert
    Quantum 6, 643 (2022)

  • 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

  • A general framework for randomized benchmarking
    J. Helsen, I. Roth, E. Onorati, A. H. Werner, J. Eisert
    PRX Quantum 3, 020357 (2022)

  • A smallest computable entanglement monotone
    J. Eisert, M. M. Wilde
    2022 IEEE International Symposium on Information Theory (ISIT), 2439-2444 (2022)

  • Entanglement estimation in tensor network states via sampling
    N. Feldman, A. Kshetrimayum, J. Eisert, M. Goldstein
    PRX Quantum 3, 030312 (2022)

  • 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
    arXiv:2201.00049

  • Towards topological fixed-point models beyond gappable boundaries
    A. Bauer, J. Eisert, C. Wille
    Physical Review B 106, 1251438 (2022)

  • 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

  • Transparent reporting of research-related greenhouse gas emissions through the scientific CO2nduct initiative
    R. Sweke, P. Boes, N. Ng, C. Sparaciari, J. Eisert, M. Goihl
    Communications Physics (Nature) 5, 150 (2022)

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

  • Simulating quantum repeater strategies for multiple satellites
    J. Wallnöfer, F. Hahn, M. Gündoğan, J. S. Sidhu, F. Krüger, N. Walk, J. Eisert, J. Wolters
    Communications Physics (Nature) 5, 169 (2022)

  • 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

  • Mechanisms for the emergence of Gaussian correlations
    M. Gluza, T. Schweigler, M. Tajik, J. Sabino, F. Cataldini, F. S. Møller, S.-C. Ji, B. Rauer, J. Schmiedmayer, J. Eisert, S. Sotiriadis
    SciPost Physics 12, 113 (2022)

  • Inhomogeneous quantum quenches in the sine-Gordon theory
    D. X. Horváth, M. Kormos, S. Sotiriadis, G. Takács
    SciPost Physics 12, 144 (2022)

  • Single-component gradient rules for variational quantum algorithms
    T. Hubregtsen, F. Wilde, S. Qasim, J. Eisert
    Quantum Science and Technology 7, 035008 (2022)

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

  • Quantum homeopathy works: Efficient unitary designs with a system-size independent number of non-Clifford gates
    J. Haferkamp, F. Montealegre-Mora, M. Heinrich, J. Eisert, D. Gross, I. Roth
    Communications in Mathematical Physics, in press (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 (2021)
  • 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

  • Boundary theories of critical matchgate tensor networks
    A. Jahn, M. Gluza, C. Verhoeven, S. Singh, J. Eisert
    JHEP 2022, 111 (2022)

  • Rate limits in quantum networks with lossy repeaters
    R. Laurenza, N. Walk, J. Eisert, S. Pirandola
    Physical Review Research 4, 023158 (2022)

  • Resource theory of quantum uncomplexity
    N. Yunger Halpern, N. B. T. Kothakonda, J. Haferkamp, A. Munson, J. Eisert, P. Faist
    arXiv:2110.11371

  • 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)

  • Work extraction from coherently activated maps via quantum switch
    K. Simonov, G. Francica, G. Guarnieri, M. Paternostro
    Physical Review A 105, 032217 (2022)

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

  • Limitations of nearest-neighbour quantum networks
    F. Hahn, A. Dahlberg, J. Eisert, A. Pappa
    Phys Rev A 106, L010401 (2022)


  • 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

  • Periodically refreshed quantum thermal machines
    A. Purkayastha, G. Guarnieri, S. Campbell, J. Prior, and J. Goold
    Quantum 6, 801 (2022)

  • 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