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
60 papers · 2 filters
Dilute measurement-induced cooling into many-body ground states
Josias Langbehn, Kyrylo Snizhko, Igor Gornyi +3
Cooling a quantum system to its ground state is important for the characterization of non-trivial interacting systems, and in the context of a variety of quantum information platfo…
Robust Estimation of Nonlinear Properties of Quantum Processes
Yuqing Wang, Guoding Liu, Zhenhuan Liu +3
Accurate and robust estimation of quantum process properties is crucial for quantum information processing and quantum many-body physics. Combining classical shadow tomography and…
Randomised benchmarking for characterizing and forecasting correlated processes
Xinfang Zhang, Zhihao Wu, Gregory A. L. White +12
The development of fault-tolerant quantum processors relies on the ability to control noise. A particularly insidious form of noise is temporally correlated or non-Markovian noise.…
Unifying non-Markovian characterisation with an efficient and self-consistent framework
Gregory A. L. White, Petar Jurcevic, Charles D. Hill +1
Noise on quantum devices is much more complex than it is commonly given credit. Far from usual models of decoherence, nearly all quantum devices are plagued both by a continuum of…
Topological Signal Processing on Quantum Computers for Higher-Order Network Analysis
Caesnan M. G. Leditto, Angus Southwell, Behnam Tonekaboni +3
Predicting and analyzing global behaviour of complex systems is challenging due to the intricate nature of their component interactions. Recent work has started modelling complex s…
Fast and robust cat state preparation utilizing higher order nonlinearities in Rydberg ensembles
S. Zhao, M. G. Krauss, T. Bienaime +4
In optical and solid-state architectures, low-order nonlinearities are commonly exploited for quantum state preparation due to their practical accessibility and controllability, wh…
Capturing long-range memory structures with tree-geometry process tensors
Neil Dowling, Kavan Modi, Roberto N. Muñoz +2
We introduce a class of quantum non-Markovian processes -- dubbed process trees -- that exhibit polynomially decaying temporal correlations and memory distributed across time scale…
Chaotic fluctuations in a universal set of transmon qubit gates
Daniel Basilewitsch, Simon-Dominik Börner, Christoph Berke +3
Transmon qubits arise from the quantization of nonlinear resonators, systems that are prone to the buildup of strong, possibly chaotic, fluctuations. Such instabilities will likely…
Information-theoretic generalization bounds for learning from quantum data
Matthias Caro, Tom Gur, Cambyse Rouzé +2
Learning tasks play an increasingly prominent role in quantum information and computation. They range from fundamental problems such as state discrimination and metrology over the…
Analog information decoding of bosonic quantum LDPC codes
Lucas Berent, Timo Hillmann, Jens Eisert +2
Quantum error correction is crucial for scalable quantum information processing applications. Traditional discrete-variable quantum codes that use multiple two-level systems to enc…
Quantum control of ro-vibrational dynamics and application to light-induced molecular chirality
Monika Leibscher, Eugenio Pozzoli, Alexander Blech +3
Achiral molecules can be made temporarily chiral by excitation with electric fields, in the sense that an average over molecular orientations displays a net chiral signal [Tikhonov…
Hybrid Quantum Machine Learning Assisted Classification of COVID-19 from Computed Tomography Scans
Leo Sünkel, Darya Martyniuk, Julia J. Reichwald +5
Practical quantum computing (QC) is still in its infancy and problems considered are usually fairly small, especially in quantum machine learning when compared to its classical cou…
Learning quantum states and unitaries of bounded gate complexity
Haimeng Zhao, Laura Lewis, Ishaan Kannan +3
While quantum state tomography is notoriously hard, most states hold little interest to practically-minded tomographers. Given that states and unitaries appearing in Nature are of…
Variational measurement-based quantum computation for generative modeling
Arunava Majumder, Marius Krumm, Tina Radkohl +4
Measurement-based quantum computation (MBQC) offers a fundamentally unique paradigm to design quantum algorithms. Indeed, due to the inherent randomness of quantum measurements, th…
Error-mitigated fermionic classical shadows on noisy quantum devices
Bujiao Wu, Dax Enshan Koh
Efficiently estimating fermionic Hamiltonian expectation values is vital for simulating various physical systems. Classical shadow (CS) algorithms offer a solution by reducing the…
Understanding and Generalizing Unique Decompositions of Generators of Dynamical Semigroups
Frederik vom Ende
We generalize the result of Gorini, Kossakowski, and Sudarshan [J. Math. Phys. 17:821, 1976] that every generator of a quantum-dynamical semigroup decomposes uniquely into a closed…
Dissipation-induced collective advantage of a quantum thermal machine
Matteo Carrega, Luca Razzoli, Paolo Andrea Erdman +3
Do quantum correlations lead to better performance with respect to several different systems working independently? For quantum thermal machines, the question is whether a working…
Learning fermionic correlations by evolving with random translationally invariant Hamiltonians
Janek Denzler, Antonio Anna Mele, Ellen Derbyshire +2
Schemes of classical shadows have been developed to facilitate the read-out of digital quantum devices, but similar tools for analog quantum simulators are scarce and experimentall…
Universally Robust Quantum Control
Pablo M. Poggi, Gabriele De Chiara, Steve Campbell +1
We study the robustness of the evolution of a quantum system against small uncontrolled variations in parameters in the Hamiltonian. We show that the fidelity susceptibility, which…
On the expressivity of embedding quantum kernels
Elies Gil-Fuster, Jens Eisert, Vedran Dunjko
One of the most natural connections between quantum and classical machine learning has been established in the context of kernel methods. Kernel methods rely on kernels, which are…
Potential and limitations of random Fourier features for dequantizing quantum machine learning
Ryan Sweke, Erik Recio-Armengol, Sofiene Jerbi +4
Quantum machine learning is arguably one of the most explored applications of near-term quantum devices. Much focus has been put on notions of variational quantum machine learning…
Continuous-wave quantum light control via engineered Rydberg-induced dephasing
Iason Tsiamis, Oleksandr Kyriienko, Anders S. Sørensen
We analyze several implementations of all-optical single-photon transistors (SPTs) operating in the continuous-wave (cw) regime, as presented in the companion paper [Phys. Rev. A 1…
Continuous-wave all-optical single-photon transistor based on a Rydberg-atom ensemble
Iason Tsiamis, Oleksandr Kyriienko, Anders S. Sørensen
Continuous-wave (cw) architectures provide a promising route to interface disparate quantum systems by relaxing the need for precise synchronization. While essential cw components,…
Floquetifying the Colour Code
Alex Townsend-Teague, Julio Magdalena de la Fuente, Markus Kesselring
Floquet codes are a recently discovered type of quantum error correction code. They can be thought of as generalising stabilizer codes and subsystem codes, by allowing the logical…