Saved in:
| Main Authors: | Giraldo, Alejandro, Ruiz, Daniel, Caruso, Mariano, Bellomo, Guido |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.04648 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Q2SAR: A Quantum Multiple Kernel Learning Approach for Drug Discovery
by: Giraldo, Alejandro, et al.
Published: (2025)
by: Giraldo, Alejandro, et al.
Published: (2025)
Quantum AI for Alzheimer's disease early screening
by: Cappiello, Giacomo, et al.
Published: (2024)
by: Cappiello, Giacomo, et al.
Published: (2024)
A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery
by: Domingo, L., et al.
Published: (2023)
by: Domingo, L., et al.
Published: (2023)
Automatic and effective discovery of quantum kernels
by: Incudini, Massimiliano, et al.
Published: (2022)
by: Incudini, Massimiliano, et al.
Published: (2022)
Quantum-enhanced causal discovery for a small number of samples
by: Terada, Yu, et al.
Published: (2025)
by: Terada, Yu, et al.
Published: (2025)
Quantum Measurement Classification with Qudits
by: Useche, Diego H., et al.
Published: (2021)
by: Useche, Diego H., et al.
Published: (2021)
Deep Learning based discovery of Integrable Systems
by: Lal, Shailesh, et al.
Published: (2025)
by: Lal, Shailesh, et al.
Published: (2025)
Permutation-equivariant quantum convolutional neural networks
by: Das, Sreetama, et al.
Published: (2024)
by: Das, Sreetama, et al.
Published: (2024)
Investigating layer-selective transfer learning of QAOA parameters for Max-Cut problem
by: Venturelli, Francesco Aldo, et al.
Published: (2024)
by: Venturelli, Francesco Aldo, et al.
Published: (2024)
Machine learning discovery of new phases in programmable quantum simulator snapshots
by: Miles, Cole, et al.
Published: (2021)
by: Miles, Cole, et al.
Published: (2021)
Generative Quantum Data Embeddings for Supervised Learning
by: Heo, Jaewoong, et al.
Published: (2026)
by: Heo, Jaewoong, et al.
Published: (2026)
Understanding Generalization in Quantum Machine Learning with Margins
by: Hur, Tak, et al.
Published: (2024)
by: Hur, Tak, et al.
Published: (2024)
Learning to Concatenate Quantum Codes
by: Meyer, Nico, et al.
Published: (2026)
by: Meyer, Nico, et al.
Published: (2026)
Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting
by: Osorio, Sandra Leticia Juárez, et al.
Published: (2024)
by: Osorio, Sandra Leticia Juárez, et al.
Published: (2024)
Fourier Analysis of Variational Quantum Circuits for Supervised Learning
by: Wiedmann, Marco, et al.
Published: (2024)
by: Wiedmann, Marco, et al.
Published: (2024)
Fast Quantum Process Tomography via Riemannian Gradient Descent
by: Volya, Daniel, et al.
Published: (2024)
by: Volya, Daniel, et al.
Published: (2024)
Benchmarking Quantum Reinforcement Learning
by: Meyer, Nico, et al.
Published: (2025)
by: Meyer, Nico, et al.
Published: (2025)
Leveraging Diffusion Models for Parameterized Quantum Circuit Generation
by: Barta, Daniel, et al.
Published: (2025)
by: Barta, Daniel, et al.
Published: (2025)
Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
by: Viqueira, José Daniel, et al.
Published: (2023)
by: Viqueira, José Daniel, et al.
Published: (2023)
A Survey on Quantum Reinforcement Learning
by: Meyer, Nico, et al.
Published: (2022)
by: Meyer, Nico, et al.
Published: (2022)
Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
by: Jaouni, Tareq, et al.
Published: (2023)
by: Jaouni, Tareq, et al.
Published: (2023)
Scalable Neural Decoders for Practical Real-Time Quantum Error Correction
by: Lee, Changwon, et al.
Published: (2025)
by: Lee, Changwon, et al.
Published: (2025)
Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling
by: Rodríguez-Briones, Nayeli A., et al.
Published: (2025)
by: Rodríguez-Briones, Nayeli A., et al.
Published: (2025)
Quantum Circuit Optimization with AlphaTensor
by: Ruiz, Francisco J. R., et al.
Published: (2024)
by: Ruiz, Francisco J. R., et al.
Published: (2024)
Exponential Quantum Communication Advantage in Distributed Inference and Learning
by: Gilboa, Dar, et al.
Published: (2023)
by: Gilboa, Dar, et al.
Published: (2023)
The role of data embedding in equivariant quantum convolutional neural networks
by: Das, Sreetama, et al.
Published: (2023)
by: Das, Sreetama, et al.
Published: (2023)
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
by: Meyer, Nico, et al.
Published: (2024)
by: Meyer, Nico, et al.
Published: (2024)
Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates
by: Grewal, Sabee, et al.
Published: (2023)
by: Grewal, Sabee, et al.
Published: (2023)
Entanglement Detection with Quantum-inspired Kernels and SVMs
by: Martínez-Sabiote, Ana, et al.
Published: (2025)
by: Martínez-Sabiote, Ana, et al.
Published: (2025)
AutoQML: A Framework for Automated Quantum Machine Learning
by: Roth, Marco, et al.
Published: (2025)
by: Roth, Marco, et al.
Published: (2025)
What is my quantum computer good for? Quantum capability learning with physics-aware neural networks
by: Hothem, Daniel, et al.
Published: (2024)
by: Hothem, Daniel, et al.
Published: (2024)
Deep Learning Approaches to Quantum Error Mitigation
by: Placidi, Leonardo, et al.
Published: (2026)
by: Placidi, Leonardo, et al.
Published: (2026)
Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
by: Meyer, Nico, et al.
Published: (2025)
by: Meyer, Nico, et al.
Published: (2025)
Variational Quantum Models for Knowledge Graph Embeddings on NISQ Devices
by: Bellomo, Guido, et al.
Published: (2026)
by: Bellomo, Guido, et al.
Published: (2026)
Warm-Start Variational Quantum Policy Iteration
by: Meyer, Nico, et al.
Published: (2024)
by: Meyer, Nico, et al.
Published: (2024)
Learning Logical Operations for Arbitrary Quantum Error Correction Codes
by: Meyer, Nico, et al.
Published: (2026)
by: Meyer, Nico, et al.
Published: (2026)
Quantum feature encoding optimization
by: Fioravanti, Tommaso, et al.
Published: (2025)
by: Fioravanti, Tommaso, et al.
Published: (2025)
Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passes
by: Mills, Daniel, et al.
Published: (2026)
by: Mills, Daniel, et al.
Published: (2026)
Quantum-inspired tensor networks in machine learning models
by: Valverde, Guillermo, et al.
Published: (2026)
by: Valverde, Guillermo, et al.
Published: (2026)
Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates II: Single-Copy Measurements
by: Grewal, Sabee, et al.
Published: (2023)
by: Grewal, Sabee, et al.
Published: (2023)
Similar Items
-
Q2SAR: A Quantum Multiple Kernel Learning Approach for Drug Discovery
by: Giraldo, Alejandro, et al.
Published: (2025) -
Quantum AI for Alzheimer's disease early screening
by: Cappiello, Giacomo, et al.
Published: (2024) -
A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery
by: Domingo, L., et al.
Published: (2023) -
Automatic and effective discovery of quantum kernels
by: Incudini, Massimiliano, et al.
Published: (2022) -
Quantum-enhanced causal discovery for a small number of samples
by: Terada, Yu, et al.
Published: (2025)