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As the landscape of devices that interact with the electrical grid expands, also the complexity of the scenarios that arise from these interactions increases. Validation methods and tools are typically domain specific and are designed to…

Software Engineering · Computer Science 2023-09-15 Catalin Gavriluta , Georg Lauss , Thomas I. Strasser , Juan Montoya , Ron Brandl , Panos Kotsampopoulos

We propose a new field-level emulator that bridges two simulators using unpaired simulation datasets. Our method leverages a flow-based approach to learn the likelihood transport from one simulator to the other. Since multiple transport…

Cosmology and Nongalactic Astrophysics · Physics 2025-10-29 Justine Zeghal , Benjamin Remy , Yashar Hezaveh , Francois Lanusse , Laurence Perreault Levasseur

Quantum hardware has the potential to efficiently solve computationally difficult problems in physics and chemistry to reap enormous practical rewards. Analogue quantum simulation accomplishes this by using the dynamics of a controlled…

We present an LLM-powered social discovery platform that uses digital twins to autonomously evaluate interpersonal compatibility through behavioral simulation. The platform unifies three key pillars: (1) digital twins that engage in…

We present an accreditation protocol for analogue, i.e., continuous-time, quantum simulators. For a given simulation task, it provides an upper bound on the variation distance between the probability distributions at the output of an…

Quantum Physics · Physics 2025-04-22 Andrew Jackson , Theodoros Kapourniotis , Animesh Datta

Large-scale quantum computers are expected to benefit from modular architectures. Validating the capabilities of modular devices requires benchmarking strategies that assess performance within and between modules. In this work, we evaluate…

The large demand for simulated data has made the reality gap a problem on the forefront of robotics. We propose a method to traverse the gap by tuning available simulation parameters. Through the optimisation of physics engine parameters,…

Robotics · Computer Science 2020-03-04 Jack Collins , Ross Brown , Jurgen Leitner , David Howard

Arrays of optically trapped atoms excited to Rydberg states have recently emerged as a competitive physical platform for quantum simulation and computing, where high-fidelity state preparation and readout, quantum logic gates and controlled…

Quantum Physics · Physics 2021-05-19 M. Morgado , S. Whitlock

An experimental Quantum Key Distribution (QKD) implementation requires advanced costly hardware, unavailable in most research environments, making protocol testing and performance evaluation complicated. Historically, this has been a major…

Quantum Physics · Physics 2023-10-20 Konstantinos Gkouliaras , Vasileios Theos , Phil Evans , Stylianos Chatzidakis

Animal behavior reflects interactions between the nervous system, body, and environment. Therefore, biomechanics and environmental context must be considered to understand algorithms for behavioral control. Neuromechanical digital twins,…

Neurons and Cognition · Quantitative Biology 2026-04-14 Sibo Wang-Chen , Pavan Ramdya

Multiparameter estimation is a general problem that aims at measuring unknown physical quantities, obtaining high precision in the process. In this context, the adoption of quantum resources promises a substantial boost in the achievable…

The linear constraint of secret key rate capacity is overcome by the tiwn-field quantum key distribution (QKD). However, the complex phase-locking and phase-tracking technique requirements throttle the real-life applications of twin-field…

Quantum Physics · Physics 2023-08-09 Jun-Lin Bai , Yuan-Mei Xie , Yao Fu , Hua-Lei Yin , Zeng-Bing Chen

Computational models have become one of the prevalent methods to model complex phenomena. To accurately model complex interactions, such as detailed biomolecular interactions, scientists often rely on multiscale models comprised of several…

The advancement of the Internet of Things (IoT) and Artificial Intelligence has catalyzed the evolution of Digital Twins (DTs) from conceptual ideas to more implementable realities. Yet, transitioning from academia to industry is complex…

Computational Engineering, Finance, and Science · Computer Science 2025-12-19 Sizhe Ma , Katherine A. Flanigan , Mario Bergés

We present $multipanda\_ros2$, a novel open-source ROS2 architecture for multi-robot control of Franka Robotics robots. Leveraging ros2 control, this framework provides native ROS2 interfaces for controlling any number of robots from a…

Robotics · Computer Science 2026-02-03 Jon Škerlj , Seongjin Bien , Abdeldjallil Naceri , Sami Haddadin

This paper presents a novel methodological framework, called the Actor-Simulator, that incorporates the calibration of digital twins into model-based reinforcement learning for more effective control of stochastic systems with complex…

Machine Learning · Computer Science 2025-01-07 Hua Zheng , Wei Xie , Ilya O. Ryzhov , Keilung Choy

As systems become more complex, the demand for thorough testing and virtual prototyping grows. To simulate whole systems, multiple tools are usually needed to cover different parts. These parts include the hardware of a system and the…

Software Engineering · Computer Science 2025-10-28 Nils Bosbach , Meik Schmidt , Lukas Jünger , Matthias Berthold , Rainer Leupers

An easier and intuitive interface architecture is necessary for digital twin of plant factory. I suggest an immersive and interactive mixed reality interface for digital twin models of smart farming, for remote work rather than simulation…

Human-Computer Interaction · Computer Science 2022-11-02 Byunghyun Ban

Compiling a quantum circuit for specific quantum hardware is a challenging task. Moreover, current quantum computers have severe hardware limitations. To make the most use of the limited resources, the compilation process should be…

Quantum Physics · Physics 2023-08-08 Stan van der Linde , Willem de Kok , Tariq Bontekoe , Sebastian Feld

This paper addresses the validation of electric vehicle supply equipment by means of a real-time capable co-simulation approach. This setup implies both pure software and real-time simulation tasks with different sampling rates dependent on…

Systems and Control · Computer Science 2018-12-27 Felix Lehfuss , Georg Lauss , Christian Seitl , Fabian Leimgruber , Martin Noehrer , Thomas I. Strasser