Quantum Machine Learning Playground
Fuente:
arXiv
Saved in:
| Main Authors: | Debus, Pascal, Issel, Sebastian, Tscharke, Kilian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
QUACK: Quantum Aligned Centroid Kernel
by: Tscharke, Kilian, et al.
Published: (2024)
by: Tscharke, Kilian, et al.
Published: (2024)
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel
by: Tscharke, Kilian, et al.
Published: (2023)
by: Tscharke, Kilian, et al.
Published: (2023)
Quantum Support Vector Regression for Robust Anomaly Detection
by: Tscharke, Kilian, et al.
Published: (2025)
by: Tscharke, Kilian, et al.
Published: (2025)
Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning
by: Wendlinger, Maximilian, et al.
Published: (2025)
by: Wendlinger, Maximilian, et al.
Published: (2025)
Towards Classical Software Verification using Quantum Computers
by: Issel, Sebastian, et al.
Published: (2024)
by: Issel, Sebastian, et al.
Published: (2024)
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models
by: Wendlinger, Maximilian, et al.
Published: (2024)
by: Wendlinger, Maximilian, et al.
Published: (2024)
Quantum Autoencoder for Multivariate Time Series Anomaly Detection
by: Tscharke, Kilian, et al.
Published: (2025)
by: Tscharke, Kilian, et al.
Published: (2025)
Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security
by: Debus, Pascal, et al.
Published: (2025)
by: Debus, Pascal, et al.
Published: (2025)
Variational Quantum Brushes
by: Lu, Jui-Ting, et al.
Published: (2025)
by: Lu, Jui-Ting, et al.
Published: (2025)
Evaluating Machine Learning Approaches for ASCII Art Generation
by: Coumar, Sai, et al.
Published: (2025)
by: Coumar, Sai, et al.
Published: (2025)
The Chaotic Art: Quantum Representation and Manipulation of Color
by: Hu, Guosheng
Published: (2025)
by: Hu, Guosheng
Published: (2025)
Quantum Wave Function Collapse for Procedural Content Generation
by: Heese, Raoul
Published: (2023)
by: Heese, Raoul
Published: (2023)
Efficient Quantum Circuit Encoding of Object Information in 2D Ray Casting
by: Lee, Seungjae, et al.
Published: (2024)
by: Lee, Seungjae, et al.
Published: (2024)
Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling
by: Kölle, Michael, et al.
Published: (2024)
by: Kölle, Michael, et al.
Published: (2024)
Learning to Importance Sample in Primary Sample Space
by: Zheng, Quan, et al.
Published: (2018)
by: Zheng, Quan, et al.
Published: (2018)
Block-Encoding Tensor Networks and QUBO Embeddings
by: Issel, Sebastian
Published: (2025)
by: Issel, Sebastian
Published: (2025)
ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulations
by: Grigorev, Artur, et al.
Published: (2024)
by: Grigorev, Artur, et al.
Published: (2024)
Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
by: Ma, Jingtian, et al.
Published: (2025)
by: Ma, Jingtian, et al.
Published: (2025)
GraphShaper: Geometry-aware Alignment for Improving Transfer Learning in Text-Attributed Graphs
by: Zhang, Heng, et al.
Published: (2025)
by: Zhang, Heng, et al.
Published: (2025)
Attention-Based Learning for Fluid State Interpolation and Editing in a Time-Continuous Framework
by: Roy, Bruno
Published: (2024)
by: Roy, Bruno
Published: (2024)
H4G: Unlocking Faithful Inference for Zero-Shot Graph Learning in Hyperbolic Space
by: Zhang, Heng, et al.
Published: (2025)
by: Zhang, Heng, et al.
Published: (2025)
Choreographing the Digital Canvas: A Machine Learning Approach to Artistic Performance
by: Peng, Siyuan, et al.
Published: (2024)
by: Peng, Siyuan, et al.
Published: (2024)
Augmented Reality Demonstrations for Scalable Robot Imitation Learning
by: Yang, Yue, et al.
Published: (2024)
by: Yang, Yue, et al.
Published: (2024)
ReActor: Reinforcement Learning for Physics-Aware Motion Retargeting
by: Müller, David, et al.
Published: (2026)
by: Müller, David, et al.
Published: (2026)
MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control
by: Peng, Xue Bin
Published: (2025)
by: Peng, Xue Bin
Published: (2025)
Quantum Dynamics of Machine Learning
by: Wang, Peng, et al.
Published: (2024)
by: Wang, Peng, et al.
Published: (2024)
Quantum Machine Learning: Quantum Kernel Methods
by: Naguleswaran, Sanjeev
Published: (2024)
by: Naguleswaran, Sanjeev
Published: (2024)
Representing Flow Fields with Divergence-Free Kernels for Reconstruction
by: Ni, Xingyu, et al.
Published: (2025)
by: Ni, Xingyu, et al.
Published: (2025)
GSCache: Real-Time Radiance Caching for Volume Path Tracing using 3D Gaussian Splatting
by: Bauer, David, et al.
Published: (2025)
by: Bauer, David, et al.
Published: (2025)
PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation
by: Hsu, HsiaoYuan, et al.
Published: (2025)
by: Hsu, HsiaoYuan, et al.
Published: (2025)
Efficient Level-Crossing Probability Calculation for Gaussian Process Modeled Data
by: Li, Haoyu, et al.
Published: (2025)
by: Li, Haoyu, et al.
Published: (2025)
Harness Local Rewards for Global Benefits: Effective Text-to-Video Generation Alignment with Patch-level Reward Models
by: Wang, Shuting, et al.
Published: (2025)
by: Wang, Shuting, et al.
Published: (2025)
Neural Importance Sampling of Many Lights
by: Figueiredo, Pedro, et al.
Published: (2025)
by: Figueiredo, Pedro, et al.
Published: (2025)
Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration
by: Chen, Yi-Tang, et al.
Published: (2025)
by: Chen, Yi-Tang, et al.
Published: (2025)
An Incremental Non-Linear Manifold Approximation Method
by: Hettige, Praveen T. W., et al.
Published: (2025)
by: Hettige, Praveen T. W., et al.
Published: (2025)
Modeling and Topology Estimation of Low Rank Dynamical Networks
by: Cao, Wenqi, et al.
Published: (2025)
by: Cao, Wenqi, et al.
Published: (2025)
Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models
by: Klötzl, Daniel, et al.
Published: (2025)
by: Klötzl, Daniel, et al.
Published: (2025)
FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation
by: Cuba, Manolo Canales, et al.
Published: (2025)
by: Cuba, Manolo Canales, et al.
Published: (2025)
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification
by: Duan, Yuhan, et al.
Published: (2025)
by: Duan, Yuhan, et al.
Published: (2025)
Functional 3D Scene Synthesis through Human-Scene Optimization
by: Wei, Yao, et al.
Published: (2025)
by: Wei, Yao, et al.
Published: (2025)
Similar Items
-
QUACK: Quantum Aligned Centroid Kernel
by: Tscharke, Kilian, et al.
Published: (2024) -
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel
by: Tscharke, Kilian, et al.
Published: (2023) -
Quantum Support Vector Regression for Robust Anomaly Detection
by: Tscharke, Kilian, et al.
Published: (2025) -
Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning
by: Wendlinger, Maximilian, et al.
Published: (2025) -
Towards Classical Software Verification using Quantum Computers
by: Issel, Sebastian, et al.
Published: (2024)