QML Foundations
2023 · 42 papers
A New Information Theory of Certainty for Machine Learning
2023Zhang
QML Foundations
A new quantum machine learning algorithm split hidden quantum Markov model inspired by quantum conditional master equation
2023Li et al.
QML Foundations
A supervised hybrid quantum machine learning solution to the emergency escape routing problem
2023Haboury et al.
QML Foundations
Advantage of Quantum Machine Learning from General Computational Advantages
2023Yamasaki, Isogai, Murao
QML Foundations
An Empirical Study of Bugs in Quantum Machine Learning Frameworks
2023Zhao et al.
QML Foundations
An Improved Classical Singular Value Transformation for Quantum Machine Learning
2023Bakshi, Tang
QML Foundations
Analyzing quantum machine learning using tensor network
2023Shin, Teo, Jeong
QML Foundations
Barren plateaus in quantum tensor network optimization
2023Martín, Plekhanov, Lubasch
QML Foundations
Benefits of Open Quantum Systems for Quantum Machine Learning
2023Olivera-Atencio, Lamata, Casado-Pascual
QML Foundations
Complexity analysis of weakly noisy quantum states via quantum machine learning
2023Wu et al.
QML Foundations
Contextuality and inductive bias in quantum machine learning
2023Bowles et al.
QML Foundations
Coreset selection can accelerate quantum machine learning models with provable generalization
2023Huang et al.
QML Foundations
Data re-uploading with a single qudit
2023Wach et al.
QML Foundations
Drastic Circuit Depth Reductions with Preserved Adversarial Robustness by Approximate Encoding for Quantum Machine Learning
2023West et al.
QML Foundations
Explainable Quantum Machine Learning
2023Heese et al.
QML Foundations
Fourier series weight in quantum machine learning
2023Atchade-Adelomou, Larson
QML Foundations
Generalization with quantum geometry for learning unitaries
2023Haug, Kim
QML Foundations
Generating quantum feature maps using multi-objective genetic algorithm
2023Wang, Bayro, Yamamoto
QML Foundations
Hybrid Genetic Optimisation for Quantum Feature Map Design
2023Pellow-Jarman et al.
QML Foundations
Improving Gradient Methods via Coordinate Transformations Applications to Quantum Machine Learning
2023Bermejo, Aizpurua, Orùs
QML Foundations
Permutation Invariant Encodings for Quantum Machine Learning with Point Cloud Data
2023Heredge et al.
QML Foundations
Photovoltaic power forecasting using quantum machine learning
2023Sagingalieva et al.
QML Foundations
Potential and limitations of random Fourier features for dequantizing quantum machine learning
2023Sweke et al.
QML Foundations
Practical limitations of quantum data propagation on noisy quantum processors
2023Saxena, Shalabi, Kyaw
QML Foundations
Probabilistic Pathways New Frontiers in Quantum Ensemble Control
2023Herzallah, Belfakir
QML Foundations
Provable Advantage in Quantum PAC Learning
2023Salmon, Strelchuk, Gur
QML Foundations
Quantum Machine Learning for Credit Scoring
2023Schetakis et al.
QML Foundations
Quantum Machine Learning hyperparameter search
2023Consul-Pacareu et al.
QML Foundations
Quantum Speedups for Bayesian Network Structure Learning
2023Harviainen, Rychkova, Koivisto
QML Foundations
Quantum machine learning of large datasets using randomized measurements
2023Haug, Self, Kim
QML Foundations
Qudit Machine Learning
2023Roca-Jerat, Román-Roche, Zueco
QML Foundations
Radio Signal Classification by Adversarially Robust Quantum Machine Learning
2023Wu et al.
QML Foundations
Relation between quantum advantage in supervised learning and quantum computational advantage
2023Pérez-Guijarro, Pagès-Zamora, Fonollosa
QML Foundations
SEQUENT Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training
2023Altmann et al.
QML Foundations
Shadows of quantum machine learning
2023Jerbi et al.
QML Foundations
Shot Optimization in Quantum Machine Learning Architectures to Accelerate Training
2023Phalak, Ghosh
QML Foundations
Tensor Network Based Efficient Quantum Data Loading of Images
2023Iaconis, John
QML Foundations
Tensor Networks for Quantum Machine Learning
2023Rieser, Köster, Raulf
QML Foundations
The Adjoint Is All You Need Characterizing Barren Plateaus in Quantum Ansätze
2023Fontana et al.
QML Foundations
Training robust and generalizable quantum models
2023Berberich et al.
QML Foundations
Transition role of entangled data in quantum machine learning
2023Wang et al.
QML Foundations
Understanding quantum machine learning also requires rethinking generalization
2023Gil-Fuster, Eisert, Bravo-Prieto
QML Foundations