Robert Wille
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View article: Large-scale stochastic simulation of open quantum systems
Large-scale stochastic simulation of open quantum systems Open
Understanding interactions between quantum systems and their environments is crucial for developing stable quantum technologies and accurate physical models. Yet, simulating open quantum systems with non-unitary dynamics remains computatio…
View article: Interpretable hand gesture recognition: a rule-based framework for radar-based gesture onset detection and classification
Interpretable hand gesture recognition: a rule-based framework for radar-based gesture onset detection and classification Open
Hand gesture recognition (HGR) has gained significant attention in human-computer interaction, enabling touchless control in various domains, such as virtual reality, automotive systems, and healthcare. While deep learning approaches achie…
View article: Improving Hardware Requirements for Fault-Tolerant Quantum Computing by Optimizing Error Budget Distributions
Improving Hardware Requirements for Fault-Tolerant Quantum Computing by Optimizing Error Budget Distributions Open
Despite significant progress in quantum computing in recent years, executing quantum circuits for practical problems remains challenging due to error-prone quantum hardware. Hence, quantum error correction becomes essential but induces sig…
View article: Localized statistics decoding for quantum low-density parity-check codes
Localized statistics decoding for quantum low-density parity-check codes Open
Quantum low-density parity-check codes are a promising candidate for fault-tolerant quantum computing with considerably reduced overhead compared to the surface code. However, the lack of a practical decoding algorithm remains a barrier to…
View article: TRIDE: A Text-assisted Radar-Image weather-aware fusion network for Depth Estimation
TRIDE: A Text-assisted Radar-Image weather-aware fusion network for Depth Estimation Open
Depth estimation, essential for autonomous driving, seeks to interpret the 3D environment surrounding vehicles. The development of radar sensors, known for their cost-efficiency and robustness, has spurred interest in radar-camera fusion-b…
View article: How to Talk to Your Classifier: Conditional Text Generation with Radar–Visual Latent Space
How to Talk to Your Classifier: Conditional Text Generation with Radar–Visual Latent Space Open
Many radar applications rely primarily on visual classification for their evaluations. However, new research is integrating textual descriptions alongside visual input and showing that such multimodal fusion improves contextual understandi…
View article: CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms
CleanQRL: Lightweight Single-file Implementations of Quantum Reinforcement Learning Algorithms Open
At the interception between quantum computing and machine learning, Quantum Reinforcement Learning (QRL) has emerged as a promising research field. Due to its novelty, a standardized and comprehensive collection for QRL algorithms has not …
View article: Node Replacement based Approximate Quantum Simulation with Decision Diagrams
Node Replacement based Approximate Quantum Simulation with Decision Diagrams Open
Simulating a quantum circuit with a classical computer requires exponentially growing resources. Decision diagrams exploit the redundancies in quantum circuit representation to efficiently represent and simulate quantum circuits. But for c…
View article: Learning Interpretable Rules from Neural Networks: Neurosymbolic AI for Radar Hand Gesture Recognition
Learning Interpretable Rules from Neural Networks: Neurosymbolic AI for Radar Hand Gesture Recognition Open
Rule-based models offer interpretability but struggle with complex data, while deep neural networks excel in performance yet lack transparency. This work investigates a neuro-symbolic rule learning neural network named RL-Net that learns i…
View article: Equivalence checking of quantum circuits via intermediary matrix product operator
Equivalence checking of quantum circuits via intermediary matrix product operator Open
As quantum computing advances, the complexity of quantum circuits is rapidly increasing, driving the need for robust methods to aid in their design. Equivalence checking plays a vital role in identifying errors that may arise during compil…
View article: Routing-Aware Placement for Zoned Neutral Atom-based Quantum Computing
Routing-Aware Placement for Zoned Neutral Atom-based Quantum Computing Open
Quantum computing promises to solve previously intractable problems, with neutral atoms emerging as a promising technology. Zoned neutral atom architectures allow for immense parallelism and higher coherence times by shielding idling atoms…
View article: Automated Synthesis of Fault-Tolerant State Preparation Circuits for Quantum Error-Correction Codes
Automated Synthesis of Fault-Tolerant State Preparation Circuits for Quantum Error-Correction Codes Open
A central ingredient in fault-tolerant quantum algorithms is the initialization of a logical state for a given quantum error-correcting code from a set of noisy qubits. A scheme that has demonstrated promising results for small code instan…
View article: MoRAL: Motion-aware Multi-Frame 4D Radar and LiDAR Fusion for Robust 3D Object Detection
MoRAL: Motion-aware Multi-Frame 4D Radar and LiDAR Fusion for Robust 3D Object Detection Open
Reliable autonomous driving systems require accurate detection of traffic participants. To this end, multi-modal fusion has emerged as an effective strategy. In particular, 4D radar and LiDAR fusion methods based on multi-frame radar point…
View article: Quantum Entrepreneurship Lab: Training a Future Workforce for the Quantum Industry
Quantum Entrepreneurship Lab: Training a Future Workforce for the Quantum Industry Open
The Quantum Entrepreneurship Lab (QEL) is a one-semester, project-based course at the Technical University of Munich (TUM), designed to bridge the gap between academic research and industrial application in the quantum sector. As part of t…
View article: CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting
CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Open
Segmenting objects in an environment is a crucial task for autonomous driving and robotics, as it enables a better understanding of the surroundings of each agent. Although camera sensors provide rich visual details, they are vulnerable to…
View article: Complying with the EU AI Act: Innovations in explainable and user-centric hand gesture recognition
Complying with the EU AI Act: Innovations in explainable and user-centric hand gesture recognition Open
The EU AI Act underscores the importance of transparency, user-centricity, and robustness in AI systems, particularly for high-risk applications. In response, we present advancements in XentricAI, an explainable hand gesture recognition (H…
View article: Lattice Surgery Compilation Beyond the Surface Code
Lattice Surgery Compilation Beyond the Surface Code Open
Large-scale fault-tolerant quantum computation requires compiling logical circuits into physical operations tailored to a given architecture. Prior work addressing this challenge has mostly focused on the surface code and lattice surgery s…
View article: A Fully Planar Approach to Field-coupled Nanocomputing: Scalable Placement and Routing Without Wire Crossings
A Fully Planar Approach to Field-coupled Nanocomputing: Scalable Placement and Routing Without Wire Crossings Open
Field-coupled Nanocomputing (FCN) is a class of promising post-CMOS technologies that transmit information through electric or magnetic fields instead of current flow. They utilize basic building blocks called cells, which can form gates t…
View article: Improving Figures of Merit for Quantum Circuit Compilation
Improving Figures of Merit for Quantum Circuit Compilation Open
Quantum computing is an emerging technology that has seen significant software and hardware improvements in recent years. Executing a quantum program requires the compilation of its quantum circuit for a target Quantum Processing Unit (QPU…
View article: Validating large-scale quantum machine learning: efficient simulation of quantum support vector machines using tensor networks
Validating large-scale quantum machine learning: efficient simulation of quantum support vector machines using tensor networks Open
We present an efficient tensor-network-based approach for simulating large-scale quantum circuits exemplified by quantum support vector machines (QSVMs). Experimentally, leveraging the cuTensorNet library on multiple GPUs, our method effec…
View article: Benchmarking Quantum Reinforcement Learning
Benchmarking Quantum Reinforcement Learning Open
Quantum Reinforcement Learning (QRL) has emerged as a promising research field, leveraging the principles of quantum mechanics to enhance the performance of reinforcement learning (RL) algorithms. However, despite its growing interest, QRL…
View article: Complying with the EU AI Act: Innovations in Explainable and User-Centric Hand Gesture Recognition
Complying with the EU AI Act: Innovations in Explainable and User-Centric Hand Gesture Recognition Open
The EU AI Act underscores the importance of transparency, user-centricity, and robustness in AI systems, particularly for high-risk systems. In response, we present advancements in XentricAI, an explainable hand gesture recognition (HGR) s…
View article: Large-scale stochastic simulation of open quantum systems
Large-scale stochastic simulation of open quantum systems Open
Understanding the precise interaction mechanisms between quantum systems and their environment is crucial for advancing stable quantum technologies, designing reliable experimental frameworks, and building accurate models of real-world phe…