Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR238 papers
- Helmholtz-Zentrum Berlin für Materialien und EnergieDE229 papers
- Technische Universität BerlinDE205 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE122 papers
- University of CambridgeGB113 papers
- Humboldt-Universität zu BerlinDE110 papers
- ETH ZurichCH105 papers
- Zuse Institute BerlinDE105 papers
- University of GenevaCH95 papers
- Sorbonne UniversitéFR94 papers
- Leiden UniversityNL91 papers
- Princeton UniversityUS90 papers
62 papers · 2 filters
Entanglement phase diagrams from partial transpose moments
Jose Carrasco, Matteo Votto, Vittorio Vitale +5
We present experimentally and numerically accessible quantities that can be used to differentiate among various families of random entangled states. To this end, we analyze the ent…
Graph test of controllability in qubit arrays: A systematic way to determine the minimum number of external controls
Fernando Gago-Encinas, Monika Leibscher, Christiane P. Koch
The ability to implement any desired quantum logic gate on a quantum processing unit is equivalent to evolution-operator controllability of the qubits. Conversely, controllability…
Long-Range Free Fermions: Lieb-Robinson Bound, Clustering Properties, and Topological Phases
Zongping Gong, Tommaso Guaita, J. Ignacio Cirac
We consider free fermions living on lattices in arbitrary dimensions, where hopping amplitudes follow a power-law decay with respect to the distance. We focus on the regime where t…
Reinforcement learning optimization of the charging of a Dicke quantum battery
Paolo Andrea Erdman, Gian Marcello Andolina, Vittorio Giovannetti +1
Quantum batteries are energy-storing devices, governed by quantum mechanics, that promise high charging performance thanks to collective effects. Due to its experimental feasibilit…
Tensor-network-assisted variational quantum algorithm
Junxiang Huang, Wenhao He, Yukun Zhang +3
Near-term quantum devices generally suffer from shallow circuit depth and hence limited expressivity due to noise and decoherence. To address this, we propose tensor-network-assist…
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
Matthias C. Caro
Learning about physical systems from quantum-enhanced experiments, relying on a quantum memory and quantum processing, can outperform learning from experiments in which only classi…
The Thermomajorization Polytope and Its Degeneracies
Frederik vom Ende, Emanuel Malvetti
Drawing inspiration from transportation theory, in this work we introduce the notions of "well-structured" and "stable" Gibbs states and we investigate their implications for quant…
ReQuSim: Faithfully simulating near-term quantum repeaters
Julius Wallnöfer, Frederik Hahn, Fabian Wiesner +2
Quantum repeaters have long been established to be essential for distributing entanglement over long distances. Consequently, their experimental realization constitutes a core chal…
Measurement-based quantum thermal machines with feedback control
Bibek Bhandari, Robert Czupryniak, Paolo Andrea Erdman +1
We investigate coupled-qubit-based thermal machines powered by quantum measurements and feedback. We consider two different versions of the machine: 1) a quantum Maxwell's demon wh…
Anyon condensation and the color code
Markus S. Kesselring, Julio C. Magdalena de la Fuente, Felix Thomsen +3
The manipulation of topologically-ordered phases of matter to encode and process quantum information forms the cornerstone of many approaches to fault-tolerant quantum computing. H…
Noiseless Linear Amplification and Loss-Tolerant Quantum Relay using Coherent State Superpositions
Joshua J. Guanzon, Matthew S. Winnel, Austin P. Lund +1
Noiseless linear amplification (NLA) is useful for a wide variety of quantum protocols. Here we propose a fully scalable amplifier which, for asymptotically large sizes, can perfor…
Efficient classical algorithms for simulating symmetric quantum systems
Eric R. Anschuetz, Andreas Bauer, Bobak T. Kiani +1
In light of recently proposed quantum algorithms that incorporate symmetries in the hope of quantum advantage, we show that with symmetries that are restrictive enough, classical a…
Extracting GHZ states from linear cluster states
Jarn de Jong, Frederik Hahn, Nikolay Tcholtchev +2
Quantum information processing architectures typically only allow for nearest-neighbour entanglement creation. In many cases, this prevents the direct generation of GHZ states, whi…
Particle current statistics in driven mesoscale conductors
Marlon Brenes, Giacomo Guarnieri, Archak Purkayastha +3
We propose a highly-scalable method to compute the statistics of charge transfer in driven conductors. The framework can be applied in situations of non-zero temperature, strong co…
Sample-optimal classical shadows for pure states
Daniel Grier, Hakop Pashayan, Luke Schaeffer
We consider the classical shadows task for pure states in the setting of both joint and independent measurements. The task is to measure few copies of an unknown pure state in…
Enhanced eigenvector sensitivity and algebraic classification of sublattice-symmetric exceptional points
Kang Yang, Ipsita Mandal
Exceptional points (EPs) are degeneracy of non-Hermitian Hamiltonians, at which the eigenvalues, along with their eigenvectors, coalesce. Their orders are given by the Jordan decom…
Optimal Thermometers with Spin Networks
Paolo Abiuso, Paolo Andrea Erdman, Michael Ronen +3
The heat capacity of a given probe is a fundamental quantity that determines, among other properties, the maximum precision in temperature estimation. In turn, $\math…
On the practical usefulness of the Hardware Efficient Ansatz
Lorenzo Leone, Salvatore F. E. Oliviero, Lukasz Cincio +1
Variational Quantum Algorithms (VQAs) and Quantum Machine Learning (QML) models train a parametrized quantum circuit to solve a given learning task. The success of these algorithms…
A super-polynomial quantum-classical separation for density modelling
Niklas Pirnay, Ryan Sweke, Jens Eisert +1
Density modelling is the task of learning an unknown probability density function from samples, and is one of the central problems of unsupervised machine learning. In this work, w…
Optimal Control Methods for Quantum Batteries
Francesco Mazzoncini, Vasco Cavina, Gian Marcello Andolina +2
We investigate the optimal charging processes for several models of quantum batteries, finding how to maximize the energy stored in a given battery with a finite-time modulation of…
Exponentially tighter bounds on limitations of quantum error mitigation
Yihui Quek, Daniel Stilck França, Sumeet Khatri +2
Quantum error mitigation has been proposed as a means to combat unwanted and unavoidable errors in near-term quantum computing without the heavy resource overheads required by faul…
Stochastic noise can be helpful for variational quantum algorithms
Junyu Liu, Frederik Wilde, Antonio Anna Mele +3
Saddle points constitute a crucial challenge for first-order gradient descent algorithms. In notions of classical machine learning, they are avoided for example by means of stochas…
Perturbative gadgets for gate-based quantum computing: Non-recursive constructions without subspace restrictions
Simon Cichy, Paul K. Faehrmann, Sumeet Khatri +1
Perturbative gadgets are a tool to encode part of a Hamiltonian, usually the low-energy subspace, into a different Hamiltonian with favorable properties, for instance, reduced loca…
Scalably learning quantum many-body Hamiltonians from dynamical data
Frederik Wilde, Augustine Kshetrimayum, Ingo Roth +3
The physics of a closed quantum mechanical system is governed by its Hamiltonian. However, in most practical situations, this Hamiltonian is not precisely known, and ultimately all…