Sparks of Quantum Advantage and Rapid Retraining in Machine Learning
Fuente:
arXiv
Saved in:
| Main Author: | Troy, William |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Empirical Quantum Advantage Analysis of Quantum Kernel in Gene Expression Data
by: Ghosh, Arpita, et al.
Published: (2024)
by: Ghosh, Arpita, et al.
Published: (2024)
Machine Learning for Quantum Noise Reduction
by: Kendre, Karan
Published: (2025)
by: Kendre, Karan
Published: (2025)
Adversarial Robustness in Distributed Quantum Machine Learning
by: Kananian, Pouya, et al.
Published: (2025)
by: Kananian, Pouya, et al.
Published: (2025)
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis
by: Georgiou, Petros, et al.
Published: (2024)
by: Georgiou, Petros, et al.
Published: (2024)
A Quick Introduction to Quantum Machine Learning for Non-Practitioners
by: Evans, Ethan N., et al.
Published: (2024)
by: Evans, Ethan N., et al.
Published: (2024)
Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction
by: Sakhuja, Saiyam, et al.
Published: (2025)
by: Sakhuja, Saiyam, et al.
Published: (2025)
Analyzing Machine Learning Performance in a Hybrid Quantum Computing and HPC Environment
by: Bieberich, Samuel T., et al.
Published: (2024)
by: Bieberich, Samuel T., et al.
Published: (2024)
Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering
by: Pomeroy, Chloe, et al.
Published: (2025)
by: Pomeroy, Chloe, et al.
Published: (2025)
EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data
by: Han, Jason, et al.
Published: (2025)
by: Han, Jason, et al.
Published: (2025)
Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks
by: Kumaresan, Poornima, et al.
Published: (2026)
by: Kumaresan, Poornima, et al.
Published: (2026)
Analyzing Images of Blood Cells with Quantum Machine Learning Methods: Equilibrium Propagation and Variational Quantum Circuits to Detect Acute Myeloid Leukemia
by: Bano, A., et al.
Published: (2026)
by: Bano, A., et al.
Published: (2026)
Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
by: Schuman, Daniëlle, et al.
Published: (2025)
by: Schuman, Daniëlle, et al.
Published: (2025)
Parameter-efficient Quantum Multi-task Learning
by: Cowlessur, Hevish, et al.
Published: (2026)
by: Cowlessur, Hevish, et al.
Published: (2026)
Component Based Quantum Machine Learning Explainability
by: White, Barra, et al.
Published: (2025)
by: White, Barra, et al.
Published: (2025)
The Quantum Imitation Game: Reverse Engineering of Quantum Machine Learning Models
by: Ghosh, Archisman, et al.
Published: (2024)
by: Ghosh, Archisman, et al.
Published: (2024)
Quantum Federated Learning Experiments in the Cloud with Data Encoding
by: Pokhrel, Shiva Raj, et al.
Published: (2024)
by: Pokhrel, Shiva Raj, et al.
Published: (2024)
Compiler Optimization for Quantum Computing Using Reinforcement Learning
by: Quetschlich, Nils, et al.
Published: (2022)
by: Quetschlich, Nils, et al.
Published: (2022)
FedQNN: Federated Learning using Quantum Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024)
by: Innan, Nouhaila, et al.
Published: (2024)
Edge-Local and Qubit-Efficient Quantum Graph Learning for the NISQ Era
by: Ahmadkhaniha, Armin, et al.
Published: (2026)
by: Ahmadkhaniha, Armin, et al.
Published: (2026)
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
by: Li, Bacui, et al.
Published: (2024)
by: Li, Bacui, et al.
Published: (2024)
Photonic Quantum-Enhanced Knowledge Distillation
by: Chen, Kuan-Cheng, et al.
Published: (2026)
by: Chen, Kuan-Cheng, et al.
Published: (2026)
Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact
by: Wang, Zeheng, et al.
Published: (2024)
by: Wang, Zeheng, et al.
Published: (2024)
Quantum Circuit for Random Forest Prediction
by: Safina, Liliia, et al.
Published: (2023)
by: Safina, Liliia, et al.
Published: (2023)
Quantum AI for Alzheimer's disease early screening
by: Cappiello, Giacomo, et al.
Published: (2024)
by: Cappiello, Giacomo, et al.
Published: (2024)
Exploring Quantum Neural Networks for Demand Forecasting
by: de Jesus, Gleydson Fernandes, et al.
Published: (2024)
by: de Jesus, Gleydson Fernandes, et al.
Published: (2024)
Multi-Class Quantum Convolutional Neural Networks
by: Mordacci, Marco, et al.
Published: (2024)
by: Mordacci, Marco, et al.
Published: (2024)
An Efficient Quantum Classifier Based on Hamiltonian Representations
by: Tiblias, Federico, et al.
Published: (2025)
by: Tiblias, Federico, et al.
Published: (2025)
Quantum Annealing for Robust Principal Component Analysis
by: Tomeo, Ian, et al.
Published: (2025)
by: Tomeo, Ian, et al.
Published: (2025)
Quantum Circuit Synthesis and Compilation Optimization: Overview and Prospects
by: Yan, Ge, et al.
Published: (2024)
by: Yan, Ge, et al.
Published: (2024)
Triplet Loss Based Quantum Encoding for Class Separability
by: Mordacci, Marco, et al.
Published: (2025)
by: Mordacci, Marco, et al.
Published: (2025)
Quantum Clustering with k-Means: a Hybrid Approach
by: Poggiali, Alessandro, et al.
Published: (2022)
by: Poggiali, Alessandro, et al.
Published: (2022)
Unleashing the Expressive Power of Pulse-Based Quantum Neural Networks
by: Tao, Han-Xiao, et al.
Published: (2024)
by: Tao, Han-Xiao, et al.
Published: (2024)
Local Binary and Multiclass SVMs Trained on a Quantum Annealer
by: Zardini, Enrico, et al.
Published: (2024)
by: Zardini, Enrico, et al.
Published: (2024)
Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks
by: Mordacci, Marco, et al.
Published: (2025)
by: Mordacci, Marco, et al.
Published: (2025)
Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test
by: Nagies, Sebastian, et al.
Published: (2025)
by: Nagies, Sebastian, et al.
Published: (2025)
Training Variational Quantum Circuits Using Particle Swarm Optimization
by: Mordacci, Marco, et al.
Published: (2025)
by: Mordacci, Marco, et al.
Published: (2025)
VQEzy: An Open-Source Dataset for Parameter Initialization in Variational Quantum Eigensolvers
by: Zhang, Chi, et al.
Published: (2025)
by: Zhang, Chi, et al.
Published: (2025)
A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction
by: Yon, Victor, et al.
Published: (2023)
by: Yon, Victor, et al.
Published: (2023)
Shuttling Compiler for Trapped-Ion Quantum Computers Based on Large Language Models
by: Kreppel, Fabian, et al.
Published: (2025)
by: Kreppel, Fabian, et al.
Published: (2025)
qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices
by: Chumpitaz-Flores, Pedro, et al.
Published: (2025)
by: Chumpitaz-Flores, Pedro, et al.
Published: (2025)
Similar Items
-
Empirical Quantum Advantage Analysis of Quantum Kernel in Gene Expression Data
by: Ghosh, Arpita, et al.
Published: (2024) -
Machine Learning for Quantum Noise Reduction
by: Kendre, Karan
Published: (2025) -
Adversarial Robustness in Distributed Quantum Machine Learning
by: Kananian, Pouya, et al.
Published: (2025) -
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis
by: Georgiou, Petros, et al.
Published: (2024) -
A Quick Introduction to Quantum Machine Learning for Non-Practitioners
by: Evans, Ethan N., et al.
Published: (2024)