Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Sahin, M. Emre, Symons, Benjamin C. B., Pati, Pushpak, Minhas, Fayyaz, Millar, Declan, Gabrani, Maria, Mensa, Stefano, Robertus, Jan Lukas |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators
par: Sahin, M. Emre, et autres
Publié: (2025)
par: Sahin, M. Emre, et autres
Publié: (2025)
Evolving a multi-population evolutionary-QAOA on distributed QPUs
par: Schiavello, Francesca, et autres
Publié: (2024)
par: Schiavello, Francesca, et autres
Publié: (2024)
Boosted Imaginary Time Evolution of Matrix Product States
par: Symons, Benjamin C. B., et autres
Publié: (2024)
par: Symons, Benjamin C. B., et autres
Publié: (2024)
Interpretable rainfall modelling reveals rapid reorganisation of Amazonian rainfall under vegetation loss
par: Horvath-Makkos, Lilly, et autres
Publié: (2026)
par: Horvath-Makkos, Lilly, et autres
Publié: (2026)
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive Modelling
par: Keller, Piotr, et autres
Publié: (2024)
par: Keller, Piotr, et autres
Publié: (2024)
Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout
par: Deshpande, Srijay, et autres
Publié: (2023)
par: Deshpande, Srijay, et autres
Publié: (2023)
TIAViz: A Browser-based Visualization Tool for Computational Pathology Models
par: Eastwood, Mark, et autres
Publié: (2024)
par: Eastwood, Mark, et autres
Publié: (2024)
Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance
par: Alzaid, Ethar, et autres
Publié: (2024)
par: Alzaid, Ethar, et autres
Publié: (2024)
Large multimodal model‐based standardisation of pathology reports with confidence and its prognostic significance
par: Ethar Alzaid, et autres
Publié: (2024)
par: Ethar Alzaid, et autres
Publié: (2024)
Gender (in)equality in Chilean press: journalists and sources
par: Marta Mensa
Publié: (2021)
par: Marta Mensa
Publié: (2021)
El Estado municipal en Argentina
par: Andrea Mensa
Publié: (2007)
par: Andrea Mensa
Publié: (2007)
Drug‐Induced Nephrotoxicity: Biomarker‐Based Phytotherapeutic Interventions
par: Saloni Joshi, et autres
Publié: (2026)
par: Saloni Joshi, et autres
Publié: (2026)
A stable Lorentz-breaking model for an antisymmetric two-tensor
par: Potting, Robertus
Publié: (2023)
par: Potting, Robertus
Publié: (2023)
Stability of Sequential and Parallel Coordinate Ascent Variational Inference
par: Pati, Debdeep
Publié: (2026)
par: Pati, Debdeep
Publié: (2026)
DepoRanker: A Web Tool to predict Klebsiella Depolymerases using Machine Learning
par: Wright, George, et autres
Publié: (2025)
par: Wright, George, et autres
Publié: (2025)
Beer-Lambert Autoencoder for Unsupervised Stain Representation Learning and Deconvolution in Multi-immunohistochemical Brightfield Histology Images
par: Eastwood, Mark, et autres
Publié: (2026)
par: Eastwood, Mark, et autres
Publié: (2026)
Ameliorative Role of Silymarin in Methotrexate‐Induced Pulmonary Damage: A Multi‐Pathway Molecular Approach
par: Aydin Genc, et autres
Publié: (2026)
par: Aydin Genc, et autres
Publié: (2026)
Enhancing Quantum Support Vector Machines through Variational Kernel Training
par: Innan, Nouhaila, et autres
Publié: (2023)
par: Innan, Nouhaila, et autres
Publié: (2023)
Resource-optimized fault-tolerant simulation of the Fermi-Hubbard model and high-temperature superconductor models
par: Kan, Angus, et autres
Publié: (2024)
par: Kan, Angus, et autres
Publié: (2024)
DNN-Based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
par: Dupuis, Benjamin, et autres
Publié: (2021)
par: Dupuis, Benjamin, et autres
Publié: (2021)
Quantum-Efficient Kernel Target Alignment
par: Coelho, Rodrigo, et autres
Publié: (2025)
par: Coelho, Rodrigo, et autres
Publié: (2025)
QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits
par: Kulshrestha, Ankit, et autres
Publié: (2024)
par: Kulshrestha, Ankit, et autres
Publié: (2024)
Artificial intelligence and the future of sociolinguistic research: An African contextual review
par: Patience Afrakoma hMensa
Publié: (2024)
par: Patience Afrakoma hMensa
Publié: (2024)
Quantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels
par: Sohail, Mohammad Aamir, et autres
Publié: (2026)
par: Sohail, Mohammad Aamir, et autres
Publié: (2026)
ModalSurv: Investigating opportunities and limitations of multimodal deep survival learning in prostate and bladder cancer
par: Wahab, Noorul, et autres
Publié: (2025)
par: Wahab, Noorul, et autres
Publié: (2025)
Mal-Positioning of Dialysis Catheter in Anomalous Left Superior Pulmonary Vein in a Patient with Acute Type A Dissection, a Case Report
par: Tariq Minhas
Publié: (2019)
par: Tariq Minhas
Publié: (2019)
Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits
par: Kölle, Michael, et autres
Publié: (2025)
par: Kölle, Michael, et autres
Publié: (2025)
A Constrained Optimisation Framework for Parameter Identification of the SIRD Model
par: Miniguano-Trujillo, Andrés, et autres
Publié: (2023)
par: Miniguano-Trujillo, Andrés, et autres
Publié: (2023)
Quasiparticle Interference Kernel Extraction with Variational Autoencoders via Latent Alignment
par: Ji, Yingshuai, et autres
Publié: (2025)
par: Ji, Yingshuai, et autres
Publié: (2025)
On the Notion of Dark Space-Time and Quantum Entanglement
par: Pati, Arun Kumar
Publié: (2025)
par: Pati, Arun Kumar
Publié: (2025)
Evaluating Human Alignment and Model Faithfulness of LLM Rationale
par: Fayyaz, Mohsen, et autres
Publié: (2024)
par: Fayyaz, Mohsen, et autres
Publié: (2024)
Towards quantum computing for clinical trial design and optimization: A perspective on new opportunities and challenges
par: Doga, Hakan, et autres
Publié: (2024)
par: Doga, Hakan, et autres
Publié: (2024)
Globally Convergent Variational Inference
par: McNamara, Declan, et autres
Publié: (2025)
par: McNamara, Declan, et autres
Publié: (2025)
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
par: Sardina, Jeffrey, et autres
Publié: (2024)
par: Sardina, Jeffrey, et autres
Publié: (2024)
Fast and Noise-aware Machine Learning Variational Quantum Eigensolver Optimiser
par: Karim, Akib, et autres
Publié: (2025)
par: Karim, Akib, et autres
Publié: (2025)
Gasdermin D and Gasdermin E Are Dispensable for Silica-Mediated IL-1β Secretion from Mouse Macrophages
par: Sutterwala, Fayyaz
Publié: (2024)
par: Sutterwala, Fayyaz
Publié: (2024)
From Traditional to Deep Learning Approaches in Whole Slide Image Registration: A Methodological Review
par: Elhaminia, Behnaz, et autres
Publié: (2025)
par: Elhaminia, Behnaz, et autres
Publié: (2025)
BioLangFusion: Multimodal Fusion of DNA, mRNA, and Protein Language Models
par: Mollaysa, Amina, et autres
Publié: (2025)
par: Mollaysa, Amina, et autres
Publié: (2025)
A Kernel Approach for Semi-implicit Variational Inference
par: Yu, Longlin, et autres
Publié: (2026)
par: Yu, Longlin, et autres
Publié: (2026)
Introducing the Kernel Descent Optimizer for Variational Quantum Algorithms
par: Simon, Lars, et autres
Publié: (2024)
par: Simon, Lars, et autres
Publié: (2024)
Documents similaires
-
Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators
par: Sahin, M. Emre, et autres
Publié: (2025) -
Evolving a multi-population evolutionary-QAOA on distributed QPUs
par: Schiavello, Francesca, et autres
Publié: (2024) -
Boosted Imaginary Time Evolution of Matrix Product States
par: Symons, Benjamin C. B., et autres
Publié: (2024) -
Interpretable rainfall modelling reveals rapid reorganisation of Amazonian rainfall under vegetation loss
par: Horvath-Makkos, Lilly, et autres
Publié: (2026) -
HistoKernel: Whole Slide Image Level Maximum Mean Discrepancy Kernels for Pan-Cancer Predictive Modelling
par: Keller, Piotr, et autres
Publié: (2024)