:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Salmenperä, Ilmo, Kuhtarskis, Ilmars, van de Griend, Arianne Meijer, Nurminen, Jukka K.
Format:	Preprint
Published:	2024
Subjects:	Quantum Physics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2409.13147
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Perspectives on Utilization of Measurements in Quantum Algorithms
by: Uotila, Valter, et al.
Published: (2025)

Architecture-aware Unitary Synthesis
by: Perkkola, Frans, et al.
Published: (2026)

The Average Relative Entropy and Transpilation Depth determines the noise robustness in Variational Quantum Classifiers
by: Shinde, Aakash Ravindra, et al.
Published: (2026)

Optimizing State Preparation for Variational Quantum Regression on NISQ Hardware
by: Perkkola, Frans, et al.
Published: (2025)

A Comparison of Quantum Compilers using a DAG-based or phase polynomial-based Intermediate Representation
by: van de Griend, Arianne Meijer -
Published: (2023)

Twirlator: A Pipeline for Analyzing Subgroup Symmetry Effects in Quantum Machine Learning Ansatzes
by: Uotila, Valter, et al.
Published: (2025)

Qubit Routing for (Almost) Free
by: de Griend, Arianne Meijer-van
Published: (2026)

Explainable quantum regression algorithm with encoded data structure
by: Wang, C. -C. Joseph, et al.
Published: (2026)

Shortest Path in Pauli Forest -- An Algorithm for Decomposing Pauli Exponentials to Quantum Circuits
by: Vuorenkoski, Lauri, et al.
Published: (2026)

Explainable quantum regression algorithm with encoded data structure
by: Wang, C. -C. Joseph, et al.
Published: (2023)

Exposing the hidden layers and interplay in the quantum software stack
by: Stirbu, Vlad, et al.
Published: (2024)

Redefining Lexicographical Ordering: Optimizing Pauli String Decompositions for Quantum Compiling
by: Huang, Qunsheng, et al.
Published: (2024)

Architecture-Aware Synthesis of Stabilizer Circuits from Clifford Tableaus
by: Winderl, David, et al.
Published: (2023)

Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models
by: Shinde, Aakash Ravindra, et al.
Published: (2025)

Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings
by: Ordóñez, Sebastian Cajas, et al.
Published: (2026)

Comparative Analysis of QNN Architectures for Wind Power Prediction: Feature Maps and Ansatz Configurations
by: Hangun, Batuhan, et al.
Published: (2025)

Quantum Software Engineering Challenges from Developers' Perspective: Mapping Research Challenges to the Proposed Workflow Model
by: Haghparast, Majid, et al.
Published: (2023)

Quantum Kernel-Based Long Short-term Memory
by: Hsu, Yu-Chao, et al.
Published: (2024)

Continuous-Variable Quantum Encoding Techniques: A Comparative Study of Embedding Techniques and Their Impact on Machine Learning Performance
by: Rath, Minati, et al.
Published: (2025)

Robust Reasoning as a Symmetry-Protected Topological Phase
by: Sung, Ilmo
Published: (2026)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
by: Chen, Kuan-Cheng, et al.
Published: (2025)

Practical Evaluation of Quantum Kernel Methods for Radar Micro-Doppler Classification on Noisy Intermediate-Scale Quantum (NISQ) Hardware
by: Agnihotri, Vikas, et al.
Published: (2026)

Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application
by: Akpinar, Emine, et al.
Published: (2024)

Optimal Layout Synthesis for Deep Quantum Circuits on NISQ Processors with 100+ Qubits
by: Shaik, Irfansha, et al.
Published: (2024)

Depth-Optimal Quantum Layout Synthesis as SAT
by: Jakobsen, Anna B., et al.
Published: (2025)

Iterative Quantum Feature Maps
by: Matsumoto, Nasa, et al.
Published: (2025)

Confidence-based Estimators for Predictive Performance in Model Monitoring
by: Kivimäki, Juhani, et al.
Published: (2024)

Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
by: Ordóñez, Sebastián Andrés Cajas, et al.
Published: (2025)

Support Vector Machine Kernels as Quantum Propagators
by: Kuo, Nan-Hong, et al.
Published: (2025)

Surrogate-Guided Quantum Discovery in Black-Box Landscapes with Latent-Quadratic Interaction Embedding Transformers
by: Gopalakrishnan, Saisubramaniam, et al.
Published: (2026)

Reverse Map Projections as Equivariant Quantum Embeddings
by: Arnott, Max, et al.
Published: (2024)

Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting
by: Hsu, Yu-Chao, et al.
Published: (2024)

Geometric and Quantum Kernel Methods for Predicting Skeletal Muscle Outcomes in chronic obstructive pulmonary disease
by: Alavi, Azadeh, et al.
Published: (2026)

Feature Entanglement-based Quantum Multimodal Fusion Neural Network
by: Wu, Yu, et al.
Published: (2026)

Addressing the Minor-Embedding Problem in Quantum Annealing and Evaluating State-of-the-Art Algorithm Performance
by: Gomez-Tejedor, Aitor, et al.
Published: (2025)

On the Representational Limits of Quantum-Inspired 1024-D Document Embeddings: An Experimental Evaluation Framework
by: Maio, Dario
Published: (2026)

Evaluating Large Language Models on Quantum Mechanics: A Comparative Study Across Diverse Models and Tasks
by: Rithvik, S. K.
Published: (2025)

Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers
by: Chen, Kuan-Cheng, et al.
Published: (2025)

Quantum-Inspired Optimization Process for Data Imputation
by: Mohanty, Nishikanta, et al.
Published: (2025)

CNOT-Optimal Clifford Synthesis as SAT
by: Shaik, Irfansha, et al.
Published: (2025)