2023 and preprints
Computational advantage of quantum random sampling
D. Hangleiter, J. Eisert,
Reviews of Modern Physics, in press, arXiv:2206.04079 (2023)- 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 4, 010328 (2023) - 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
Physical Review Letters, 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 107, 064406 (2023)- 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 397, 995 (2023) - Verification of the area law of mutual information in a quantum field simulator
M. Tajik, I. Kukuljan, S. Sotiriadis, B. Rauer, T. Schweigler, F. Cataldini, J. Sabino, F. Møller, P. Schuettelkopf, S.-C. Ji, D. Sels, E. Demler, J. Schmiedmayer
Nature Physics (2023) - Decoding quantum color codes with MaxSAT
L. Berent, L. Burgholzer, P.-J. H. S. Derks, J. Eisert, R. Wille
arXiv:2303.14237 - On the average-case complexity of learning output distributions of quantum circuits
A. Nietner, M. Ioannou, R. Sweke, R. Kueng, J. Eisert, M. Hinsche, J. Haferkamp
arXiv:2305.05765 - Towards provably efficient quantum algorithms for large-scale machine-learning models
J. Liu, M. Liu, J.-P. Liu, Z. Ye, Y. Alexeev, J. Eisert, L. Jiang
arXiv:2303.03428 - Good Gottesman-Kitaev-Preskill codes from the NTRU cryptosystem
J. Conrad, J. Eisert, J.-P. Seifert
arXiv:2303.02432
Quantencomputer heute und in naher Zukunft: eine realistische PerspektiveP. 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 - A super-polynomial quantum-classical separation for density modelling
N. Pirnay, R. Sweke, J. Eisert, J.-P. Seifert
Physical Review A, in 042416 (2023) - 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
PNAS 120 (2023) - Bulk-to-boundary anyon fusion from microscopic models
J. C. Magdalena de la Fuente, J. Eisert, A. Bauer
arXiv:2302.01835 - 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 - 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 - Error-corrected quantum repeaters with GKP qudits
F. Schmidt, D. Miller, P. van Loock
arXiv:2303.16034
Disentangling modular Walker-Wang models via fermionic invertible boundaries
A. Bauer
Phys. Rev. B 107, 085134 (2023)- Bias-tailored quantum LDPC codes
J. Roffe, L. Z. Cohen, A. O. Quintavalle, D. Chandra, E. T. Campbell
Quantum 7, 1005 (2023) - The foliage partition: An easy-to-compute LC-invariant for graph states
A. Burchardt, F. Hahn
arXiv:2305.07645