QML Foundations

2025 · 45 papers

A scalable advantage in multi-photon quantum machine learning
2025

Wang et al.

QML Foundations
Adaptive Conformal Prediction for Quantum Machine Learning
2025

Spencer, Nicholls, Caprio

QML Foundations
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
2025

Park et al.

QML Foundations
Almost fault — tolerant quantum machine learning with drastic overhead reduction
2025

Kang et al.

QML Foundations
Applications of Hybrid Machine Learning Methods to Large Datasets A Case Study
2025

Maragkopoulos et al.

QML Foundations
AutoQML A Framework for Automated Quantum Machine Learning
2025

Roth et al.

QML Foundations
Classical feature map surrogates and metrics for quantum control landscapes
2025

Calzavara, Calarco, Motzoi

QML Foundations
Comparing Quantum Machine Learning Approaches in Astrophysical Signal Detection
2025

Ziiatdinov et al.

QML Foundations
Component Based Quantum Machine Learning Explainability
2025

White, Guha

QML Foundations
DOMAIN-AWARE QUANTUM CIRCUIT FOR QML
2025

Singh, Pellegrini, Merz

QML Foundations
Data Complexity a threshold between Classical and Quantum Machine Learning — Part I
2025

Pere

QML Foundations
Double descent in quantum machine learning
2025

Kemples et al.

QML Foundations
EnQode Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data
2025

Han et al.

QML Foundations
Entangled mixed-state datasets generation by quantum machine learning
2025

Xu et al.

QML Foundations
Experimental data re-uploading with provable enhanced learning capabilities
2025

Mauser et al.

QML Foundations
Exploring Quantum Machine Learning for Weather Forecasting
2025

Heloísa F. da Silva et al.

QML Foundations
Geodesics of Quantum Feature Maps on the space of Quantum Operators
2025

Vlasic

QML Foundations
How many qubits does a machine learning problem require
2025

Leither, Kubal, Johri

QML Foundations
Hybrid Quantum-Classical Multi-Agent Pathfinding
2025

Gerlach et al.

QML Foundations
Influence of Data Dimensionality Reduction Methods on the Effectiveness of Quantum Machine Learning Models
2025

Ravindra Shinde, Nurminen

QML Foundations
Iterative Quantum Feature Maps
2025

Matsumoto et al.

QML Foundations
Limitations of Quantum Advantage in Unsupervised Machine Learning
2025

Patel

QML Foundations
Local surrogates for quantum machine learning
2025

Nair, Ferrie

QML Foundations
Masot-Llima et al. Prospects for quantum advantage in machine learning from the representability of functions
2025

Unknown

QML Foundations
Modeling Feature Maps for Quantum Machine Learning
2025

Singh, Pokhrel

QML Foundations
Multiple Embeddings for Quantum Machine Learning
2025

Han, Jia, Guo

QML Foundations
On Dequantization of Supervised Quantum Machine Learning via Random Fourier Features
2025

Sahebi et al.

QML Foundations
On the status of current quantum machine learning software
2025

Gupta, Rybotycki, Gawron

QML Foundations
Pulsed learning for quantum data re-uploading models
2025

Acedo et al.

QML Foundations
Q-RUN Quantum-Inspired Data Re-uploading Networks
2025

Qiao et al.

QML Foundations
QML-HCS A Hypercausal Quantum Machine Learning Framework for Non-Stationary Environments
2025

Mozo

QML Foundations
QUANTUM MACHINE LEARNING IN MULTI-QUBIT PHASE-SPACE PART I FOUNDATIONS
2025

Heightman et al.

QML Foundations
QuProFS An Evolutionary Training-free Approach to Efficient Quantum Feature Map Search
2025

Gujju et al.

QML Foundations
Quantum Machine Learning for Climate Modelling
2025

Schwabe et al.

QML Foundations
Quantum Machine Learning for Optimizing Entanglement Distribution in Quantum Sensor Circuits
2025

Ashok Attisara, Kumar

QML Foundations
Quantum Machine Learning via Contrastive Training
2025

Zhukas et al.

QML Foundations
Quantum ensemble learning with a programmable superconducting processor
2025

Chen et al.

QML Foundations
Quantum machine learning advantages beyond hardness of evaluation
2025

Molteni, Marshall, Dunjko

QML Foundations
Quantum machine learning for efficient reduced order modelling of turbulent flows
2025

Li, Lou, Xiao

QML Foundations
Quantum machine learning with Adaptive Boson Sampling via post-selection
2025

Hoch et al.

QML Foundations
Quantum-inspired Embeddings Projection and Similarity Metrics for Representation Learning
2025

Kankeu et al.

QML Foundations
Quenched Quantum Feature Maps
2025

Simen et al.

QML Foundations
Supervised Quantum Machine Learning A Future Outlook from Qubits to Enterprise Applications
2025

Thudumu, Fisher, Du

QML Foundations
Trainability of Quantum Models Beyond Known Classical Simulability
2025

Meyer et al.

QML Foundations
You Only Measure Once On Designing Single-Shot Quantum Machine Learning Models
2025

Liu et al.

QML Foundations