Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR2.9k papers
- University of MichiganUS2k papers
- Institute for High Energy PhysicsES1.9k papers
- University College LondonGB1.9k papers
- University of ManchesterGB1.9k papers
- University of BonnDE1.9k papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1.8k papers
- Brookhaven National LaboratoryUS1.8k papers
- University of ArizonaUS1.8k papers
- Institut National de Physique Nucléaire et de Physique des ParticulesFR1.8k papers
- Max Planck Institute for PhysicsDE1.8k papers
- Aix-Marseille UniversitéFR1.8k papers
41 papers · 2 filters
Efficient decoupling of a non-linear qubit mode from its environment
Frederik Pfeiffer, Max Werninghaus, Christian Schweizer +21
To control and measure the state of a quantum system it must necessarily be coupled to external degrees of freedom. This inevitably leads to spontaneous emission via the Purcell ef…
Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments
Georg Kruse, Theodora-Augustina Dragan, Robert Wille +1
Quantum Reinforcement Learning (QRL) emerged as a branch of reinforcement learning (RL) that uses quantum submodules in the architecture of the algorithm. One branch of QRL focuses…
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
Jonas Stein, Navid Roshani, Maximilian Zorn +3
A central challenge in quantum machine learning is the design and training of parameterized quantum circuits (PQCs). Similar to deep learning, vanishing gradients pose immense prob…
Quantum Optics with Rydberg Superatoms
Jan Kumlin, Christoph Braun, Christoph Tresp +3
Quantum optics based on highly excited atoms, also known as Rydberg atoms, has cemented itself as a powerful platform for the manipulation of light at the few-photon level. The Ryd…
Unmasking the Polygamous Nature of Quantum Nonlocality
Paweł Cieśliński, Lukas Knips, Mateusz Kowalczyk +4
Quantum mechanics imposes limits on the statistics of certain observables. Perhaps the most famous example is the uncertainty principle. Similar trade-offs also exist for the simul…
Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines
Daniëlle Schuman, Leo Sünkel, Philipp Altmann +4
Quantum Transfer Learning (QTL) recently gained popularity as a hybrid quantum-classical approach for image classification tasks by efficiently combining the feature extraction cap…
Exotic Symmetry Breaking Properties of Self-Dual Fracton Spin Models
Giovanni Canossa, Lode Pollet, Miguel A. Martin-Delgado +2
Fracton codes host unconventional topological states of matter and are promising for fault-tolerant quantum computation due to their large coding space and strong resilience agains…
Universal quantum processors in spin systems via robust local pulse sequences
Matteo Votto, Johannes Zeiher, Benoît Vermersch
We propose a protocol to realize quantum simulation and computation in spin systems with long-range interactions. Our approach relies on the local addressing of single spins with e…
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization
Michael Kölle, Felix Topp, Thomy Phan +3
Multi-Agent Reinforcement Learning is becoming increasingly more important in times of autonomous driving and other smart industrial applications. Simultaneously a promising new ap…
Deep-Learning-Based Radio-Frequency Side-Channel Attack on Quantum Key Distribution
Adomas Baliuka, Markus Stöcker, Michael Auer +3
Quantum key distribution (QKD) protocols are proven secure based on fundamental physical laws, however, the proofs consider a well-defined setting and encoding of the sent quantum…
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…
A Hyperparameter Study for Quantum Kernel Methods
Sebastian Egginger, Alona Sakhnenko, Jeanette Miriam Lorenz
Quantum kernel methods are a promising method in quantum machine learning thanks to the guarantees connected to them. Their accessibility for analytic considerations also opens up…
Floquet topological phase transitions induced by uncorrelated or correlated disorder
Jun-Hui Zheng, Arijit Dutta, Monika Aidelsburger +1
The impact of weak disorder and its spatial correlation on the topology of a Floquet system is not well understood so far. In this study, we investigate a model closely related to…
Quantum Measurement and Objective Classical Reality
Vishal Johnson, Philipp Frank, Torsten Enßlin
We explore quantum measurement in the context of Everettian unitary quantum mechanics and construct an explicit unitary measurement procedure. We propose the existence of prior cor…
Charge-parity switching effects and optimisation of transmon-qubit design parameters
Miha Papič, Jani Tuorila, Adrian Auer +2
Enhancing the performance of noisy quantum processors requires improving our understanding of error mechanisms and the ways to overcome them. In this study, we identify optimal ran…
Taxonomy for Physics Beyond Quantum Mechanics
Emily Adlam, Jonte R. Hance, Sabine Hossenfelder +1
We propose terminology to classify interpretations of quantum mechanics and models that modify or complete quantum mechanics. Our focus is on models which have previously been refe…
Incentivising Demand Side Response through Discount Scheduling using Hybrid Quantum Optimization
David Bucher, Jonas Nüßlein, Corey O'Meara +5
Demand Side Response (DSR) is a strategy that enables consumers to actively participate in managing electricity demand. It aims to alleviate strain on the grid during high demand a…
Quantum Information-Assisted Complete Active Space Optimization (QICAS)
Lexin Ding, Stefan Knecht, Christian Schilling
Automated active space selection is arguably one of the most challenging and essential aspects of multiconfigurational methods. In this work we propose an effective quantum informa…
Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK
Florian J. Kiwit, Marwa Marso, Philipp Ross +3
Benchmarking of quantum machine learning (QML) algorithms is challenging due to the complexity and variability of QML systems, e.g., regarding model ansatzes, data sets, training t…
The Measurement Problem Is a Feature, Not a Bug--Schematising the Observer and the Concept of an Open System on an Informational, or (Neo-)Bohrian, Approach
Michael E. Cuffaro
I flesh out the sense in which the informational approach to interpreting quantum mechanics, as defended by Pitowsky and Bub and lately by a number of other authors, is (neo-)Bohri…
Benchmarking Digital-Analog Quantum Computation
Vicente Pina Canelles, Manuel G. Algaba, Hermanni Heimonen +6
Digital-Analog Quantum Computation (DAQC) has recently been proposed as an alternative to the standard paradigm of digital quantum computation. DAQC creates entanglement through a…
Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group
Alberto Di Meglio, Karl Jansen, Ivano Tavernelli +43
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage…
Quantum Limits of Position and Polarizability Estimation in the Optical Near Field
Lukas Kienesberger, Thomas Juffmann, Stefan Nimmrichter
Optical near fields are at the heart of various applications in sensing and imaging. We investigate dipole scattering as a parameter estimation problem and show that optical near-f…
Approximative lookup-tables and arbitrary function rotations for facilitating NISQ-implementations of the HHL and beyond
Petros Stougiannidis, Jonas Stein, David Bucher +3
Many promising applications of quantum computing with a provable speedup center around the HHL algorithm. Due to restrictions on the hardware and its significant demand on qubits a…