2.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Center for Integrated Quantum Science and TechnologyDE303 papers
- Centre National de la Recherche ScientifiqueFR82 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE71 papers
- Technische Hochschule UlmDE65 papers
- Helmholtz-Institute UlmDE64 papers
- Imperial College LondonGB58 papers
- Hebrew University of JerusalemIL52 papers
- Leibniz University HannoverDE51 papers
- University of StuttgartDE45 papers
- Texas A&M UniversityUS41 papers
- Universität InnsbruckAT40 papers
- Technical University of MunichDE37 papers
62 papers · 1 filter
MRI Simulation and Reconstruction Framework for Magnetic Vector Fields
Fabian Bschorr, Thomas Hüfken, Tobias Lobmeyer +1
Purpose: Conventional MRI is relying on the assumption of the magnetic field being homogeneous in direction and amplitude. However, with the growing interest in portable, affordabl…
Evaluating Sample-Based Krylov Quantum Diagonalization for Heisenberg Models with Applications to Materials Science
Roman Firt, Neel Misciasci, Jonathan E. Mueller +4
We evaluate the Sample-based Krylov Quantum Diagonalization (SKQD) algorithm on one- and two-dimensional Heisenberg models, including strongly correlated regimes in which the groun…
Upper Bound for Permanent Saturation of Metric Graphs using Interval Exchange Transformations
Egor Ermolaev, Vsevolod Chernyshev, Alexandra Skripchenko
We study upper bounds for the moment of permanent -saturation in finite metric graphs. The dynamics is generated by moving points travelling with unit speed along edge…
Bayesian Neural Networks with Monte Carlo Dropout for Probabilistic Electricity Price Forecasting
Abhinav Das, Stephan Schlüter
Accurate electricity price forecasting is critical for strategic decision-making in deregulated electricity markets, where volatility stems from complex supply-demand dynamics and…
Mathematical and Computational Nuclear Oncology: Toward Optimized Radiopharmaceutical Therapy via Digital Twins
Marc Ryhiner, Yangmeihui Song, Babak Saboury +3
This article presents the general framework of theranostic digital twins (TDTs) in computational nuclear medicine, designed to support clinical decision-making and improve cancer p…
Silence Speaks Volumes: A New Paradigm for Covert Communication via History Timing Patterns
Christoph Weissenborn, Steffen Wendzel
A Covert Channel (CC) exploits legitimate communication mechanisms to stealthily transmit information, often bypassing traditional security controls. Among these, a novel paradigm…
Lellouch-Lüscher relation for ultracold few-atom systems under confinement
Jing-Lun Li, Paul S. Julienne, Johannes Hecker Denschlag +1
We derive an analog of the Lellouch-Lüscher (LL) relation for few-body bosonic systems, linking few-body scattering loss rates to the energies and widths of the corresponding harmo…
Quantum Coherence in Superconducting Vortex States
Ameya Nambisan, Simon Günzler, Dennis Rieger +13
Abrikosov vortices, where the superconducting gap is completely suppressed in the core, are dissipative, semi-classical entities that impact applications from high-current-density…
An Expert-grounded benchmark of General Purpose LLMs in LCA
Artur Donaldson, Bharathan Balaji, Cajetan Oriekezie +2
Purpose: Artificial intelligence (AI), and in particular large language models (LLMs), are increasingly being explored as tools to support life cycle assessment (LCA). While demons…
Decay of uniformly rotating particles
Luciano Petruzziello, Martin B. Plenio
In this paper, we revisit the interpretation of the circular Unruh effect. To this aim, we rely on the principle of general covariance applied to the decay properties of non-inerti…
Amplification and Detection of Single Itinerant Microwave Photons
Lukas Danner, Max Hofheinz, Nicolas Bourlet +3
Single-photon detectors are an essential part of the toolbox of modern quantum optics for implementing quantum technologies and enabling tests of fundamental physics. The low energ…
Analyzing Uncertainty Quantification in Statistical and Deep Learning Models for Probabilistic Electricity Price Forecasting
Andreas Lebedev, Abhinav Das, Sven Pappert +1
Precise probabilistic forecasts are fundamental for energy risk management, and there is a wide range of both statistical and machine learning models for this purpose. Inherent to…
Approaching the scaling limit of transport through lattices with dephasing
Subhajit Sarkar, Gabriela Wójtowicz, Bartłomiej Gardas +2
We examine the stationary--state equations for lattices with generalized Markovian dephasing and relaxation. When the Hamiltonian is quadratic, the single--particle correlation mat…
FewBodyToolkit.jl: a Julia package for solving quantum few-body problems
Lucas Happ
Few-body physics explores quantum systems of a small number of particles, bridging the gap between single-particle and many-body regimes. To provide an accessible tool for such stu…
A Steered Response Power Method for Sound Source Localization With Generic Acoustic Models
Kaspar Müller, Markus Buck, Simon Doclo +2
The steered response power (SRP) method is one of the most popular approaches for acoustic source localization with microphone arrays. It is often based on simplifying acoustic ass…
Modelling and Simulation of an Alkaline Ni/Zn Cell
Felix K. Schwab, Britta Doppl, Niklas J. Herrmann +4
Nickel/zinc (Ni/Zn) technology is a promising post-lithium battery type for stationary applications with respect to aspects such as safety, environmental compatibility and resource…
Chirality-Induced Orbital Selectivity through Linear-Orbital Coupling
Namgee Cho, James Lim, Martin B. Plenio
We present a three-dimensional continuum model of electron transmission through a chiral electrostatic potential and show that it gives rise to chirality-induced orbital selectivit…
Hierarchical Maximum Likelihood Estimation for Time-Resolved NMR Data
Lennart H. Bosch, Pernille R. Jensen, Nico Striegler +10
Metabolic monitoring and reaction rate estimation using hyperpolarized NMR technology requires accurate quantitative analysis of multidimensional data scenarios. Currently, this an…
PHIP Sequences and Dipolar Fields
Martin C. Korzeczek, Ilai Schwartz, Martin B. Plenio
Para-hydrogen induced polarization (PHIP) achieves efficient hyperpolarisation of nuclear spins with the transfer of the singlet order of parahydrogen to target molecules through c…
Hybrid quantum tensor networks for aeroelastic applications
M. Lautaro Hickmann, Pedro Alves, David Quero +2
We investigate the application of hybrid quantum tensor networks to aeroelastic problems, harnessing the power of Quantum Machine Learning (QML). By combining tensor networks with…
Prospects for dark matter observations in dwarf spheroidal galaxies with the Cherenkov Telescope Array Observatory
K. Abe, S. Abe, J. Abhir +491
The dwarf spheroidal galaxies (dSphs) orbiting the Milky Way are widely regarded as systems supported by velocity dispersion against self-gravity, and as prime targets for the sear…
Simulating Electron Transfer on Noisy Quantum Computers
Marvin Gajewski, Alejandro D. Somoza, Gary Schmiedinghoff +3
While simple spin-boson models have been realized on quantum hardware, simulating extended electronic networks with local vibrational environments remains a fundamental challenge i…
Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias
Koffi Ismael Ouattara, Ioannis Krontiris, Theo Dimitrakos +1
As AI systems increasingly rely on training data, assessing dataset trustworthiness has become critical, particularly for properties like fairness or bias that emerge at the datase…
Realizing the Petz Recovery Map on an NMR Quantum Processor
Gayatri Singh, Ram Sagar Sahani, Vinayak Jagadish +3
The Petz recovery map is a central construct in quantum information theory, providing an explicit, channel-aware prescription for reversing the effects of noise. Unlike standard qu…